{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "59ca57db-7a1f-47b7-a10e-41c5c8804c6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e25dab62-2280-4f0f-961f-9f613cf15fa0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression model trained successfully...\n",
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_lr = LogisticRegression() # Logistic Regression\n",
    "mdl_svm = SVC(probability=True) # Support Vector Machine, set probability to draw P-R Curve\n",
    "\n",
    "# Model Training\n",
    "mdl_lr.fit(X_train, y_train) # Logistic Regression\n",
    "print('Logistic regression model trained successfully...')\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Get confusion matrix of all models\n",
    "# Predict probabilities for each model\n",
    "y_proba_lr = mdl_lr.predict_proba(X_test)[:, 1] # Using probability of positive class\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c08e253e-c369-488f-bef1-7ea398758721",
   "metadata": {},
   "outputs": [],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "194e0816-bb0c-4dd3-bce9-cce3b3085116",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.0 - Precision: 0.4800, Recall: 1.0000, F1 Score: 0.6486\n",
      "When threshold = 0.1 - Precision: 0.5934, Recall: 0.9931, F1 Score: 0.7429\n",
      "When threshold = 0.2 - Precision: 0.6900, Recall: 0.9583, F1 Score: 0.8023\n",
      "When threshold = 0.3 - Precision: 0.7247, Recall: 0.8958, F1 Score: 0.8012\n",
      "When threshold = 0.4 - Precision: 0.7654, Recall: 0.8611, F1 Score: 0.8105\n",
      "When threshold = 0.5 - Precision: 0.8176, Recall: 0.8403, F1 Score: 0.8288\n",
      "When threshold = 0.6 - Precision: 0.8382, Recall: 0.7917, F1 Score: 0.8143\n",
      "When threshold = 0.7 - Precision: 0.9130, Recall: 0.7292, F1 Score: 0.8108\n",
      "When threshold = 0.8 - Precision: 0.9375, Recall: 0.6250, F1 Score: 0.7500\n",
      "When threshold = 0.9 - Precision: 1.0000, Recall: 0.3750, F1 Score: 0.5455\n",
      "When threshold = 1.0 - Precision: 0.0000, Recall: 0.0000, F1 Score: 0.0000\n",
      "[[156. 144.]\n",
      " [  0.   0.]]\n"
     ]
    }
   ],
   "source": [
    "def get_precision_recall_f1(y_pred, y):\n",
    "    '''\n",
    "    Compute precision, recall, and F1 score of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Compute confusion matrix\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute precision, recall, and F1 score\n",
    "    precision = cm[1, 1] / (cm[1, 1] + cm[1,0] + epsilon)\n",
    "    recall = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    f1 = 2 * (precision * recall) / (precision + recall + epsilon)\n",
    "    \n",
    "    return precision, recall, f1\n",
    "\n",
    "# Get predictions from probabilities\n",
    "for threshold in np.linspace(0, 1, 11):\n",
    "    y_pred_lr = get_prediction_from_proba(y_proba_lr, threshold)\n",
    "    precision_lr, recall_lr, f1_lr = get_precision_recall_f1(y_pred_lr, y_test)\n",
    "    print(f\"When threshold = {threshold:0.1f} - Precision: {precision_lr:.4f}, Recall: {recall_lr:.4f}, F1 Score: {f1_lr:.4f}\")\n",
    "\n",
    "print(confusion_matrix(y_pred_lr, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3a6146a1-a817-4832-9fb9-f1fc048c2822",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import precision_recall_curve\n",
    "\n",
    "# Calculate precision and recall for various thresholds\n",
    "precision_lr, recall_lr, thresholds_lr = precision_recall_curve(y_test, y_proba_lr)\n",
    "precision_svm, recall_svm, thresholds_svm = precision_recall_curve(y_test, y_proba_svm)\n",
    "\n",
    "# Create the P-R curve of Logistic Regression and Support Vector Machine\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_lr, precision_lr, marker='.', color='tab:blue', label='Model 2')\n",
    "ax.plot(recall_svm, precision_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('Precision', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "plt.legend(fontsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of Logistic Regression\n",
    "for i in [0, int(len(thresholds_lr)/2), len(thresholds_lr)-1]:\n",
    "    plt.annotate(f'Threshold: {thresholds_lr[i]:.2f}', \n",
    "                    xy=(recall_lr[i]*0.8, thresholds_lr[i]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "plt.savefig('P-R_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f523d771-29dc-4bff-9f08-f28da738c9a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate F1 scores for SVM model\n",
    "f1_svm = 2 * (precision_svm * recall_svm) / (precision_svm + recall_svm)\n",
    "\n",
    "# Drawing a curve with Recall as x-axis and F1-score as y-axis\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(recall_svm, f1_svm, marker='.', color='tab:orange', label='Model 3')\n",
    "ax.set_xlabel('Recall', fontsize=label_size)\n",
    "ax.set_ylabel('F1 Score', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Add some threshold annotations of SVM where F1-score is maximum\n",
    "max_f1_index = np.argmax(f1_svm)\n",
    "plt.annotate(f'Threshold: {thresholds_svm[max_f1_index]:.2f}', \n",
    "                    xy=(recall_svm[max_f1_index]*0.8, f1_svm[max_f1_index]), \n",
    "                    xytext=(5, 5), \n",
    "                    textcoords='offset points',\n",
    "                    fontsize=ticklabel_size)\n",
    "\n",
    "# Adding a dashed line to indicate the maximum F1 score\n",
    "plt.axvline(x=recall_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "plt.axhline(y=f1_svm[max_f1_index], color='tab:orange', linestyle='--')\n",
    "\n",
    "# Adding text annotations for maximum F1 score\n",
    "plt.text(recall_svm[max_f1_index]-0.8, f1_svm[max_f1_index]-0.05, f'Max F1 Score: {f1_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "# Adding text annotations below x-axis of Recall where F1-score is maximum\n",
    "plt.text(recall_svm[max_f1_index]-0.3, -0.05, f'Recall: {recall_svm[max_f1_index]:.4f}', \n",
    "         horizontalalignment='left', verticalalignment='bottom', fontsize=ticklabel_size, color='tab:orange')\n",
    "\n",
    "plt.savefig('F1_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "46fba349-067e-4fed-8ff9-235391457827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.25, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "44e5d305-1bbd-46b1-9bd2-8b7b392ca2fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic regression model trained successfully...\n",
      "Support vector machine trained successfully...\n",
      "Decision tree trained successfully...\n",
      "Random forests trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# Model Definition\n",
    "mdl_lr = LogisticRegression() # Logistic Regression\n",
    "mdl_svm = SVC() # Support Vector Machine\n",
    "mdl_dt = DecisionTreeClassifier() # Decision Tree\n",
    "mdl_rf = RandomForestClassifier(n_estimators=100) # Random Forests\n",
    "\n",
    "# Model Training\n",
    "mdl_lr.fit(X_train, y_train) # Logistic Regression\n",
    "print('Logistic regression model trained successfully...')\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "mdl_dt.fit(X_train, y_train) # Decision Tree\n",
    "print('Decision tree trained successfully...')\n",
    "\n",
    "mdl_rf.fit(X_train, y_train) # Random Forest\n",
    "print('Random forests trained successfully...')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0317cefc-a5ef-45c4-b186-22cc01744775",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BjRo1ULduXXnfqVOn8Oqrr+Ls2bOVWCEREREVx+DCx+PHj+Ht7Y3ly5ejTp06aNq0KYQQ8v4WLVogLCwMmzZtqsQqiYiIqDgGFz4CAgJw/fp1bNmyBWfOnMHgwYMV9ltaWqJbt244cuRIJVVIREREJTG48LFnzx707dsXQ4cOLbaNh4cHYmNjdVgVERERqcvgwse9e/fg5eVVYhsLCwukp6frqCIiIiIqC4MLH9WrVy/16ZaoqCjUrFlTRxURERFRWRhc+OjatSv27NmDuLg4lfuvXr2Kv//+Gy+//LKOKyMiIiJ1GFz4mDlzJvLy8tC5c2ds3rwZiYmJAIDIyEisXbsWvr6+MDc3x6efflrJlRIREZEqkij6nKqB2LNnD0aNGoW0tDQAgBACkiRBCAFbW1ts2bIFr776qkZ9W7aepM1SiUjLHoYvr+wSiKgYNuaSWu1MKriOCtGvXz/cunUL69evx6lTp/D48WPY2dnB29sbY8eOhZOTU2WXSERERMUwyJGPisSRDyL9xpEPIv2l7siHwc352LRpEzIyMiq7DCIiItKQwYUPf39/uLq6YsyYMTh06BA4cENERGRYDC58LFiwAHXq1MGGDRvg5+eH2rVr47PPPsPFixcruzQiIiJSg8HO+Th37hw2btyIrVu3IiEhAZIkoVmzZhg1ahRGjBgBNzc3jfrlnA8i/cY5H0T6S905HwYbPgoVFBTgwIEDCAoKwu7du5Geng5jY2P4+Pjg4MGDZe6P4YNIvzF8EOmvKjvh9FlGRkbo1asXgoKCkJCQgEWLFsHIyIjvaktERKSnDHKdj2elpqZix44dCAoKQmhoKAoKCmBra1vZZREREZEKBhs+8vLyEBwcjKCgIAQHByM7OxtGRkbo2bMn/P39MXDgwMoukYiIiFQwuPARFhaGoKAgbN++HUlJSRBCoHXr1vD398fw4cPh4uJS2SUSERFRCQwufHTp0gUAUKdOHYwbNw7+/v7w8vKq5KqIiIhIXQYXPsaOHQt/f3/4+PhUdilERESkAYMLH2vXrq3sEoiIiKgcDP5RWyIiIjIsej/y4evrC0mSsH79etSuXRu+vr5qHSdJEg4fPlzB1REREVFZ6X34OHr0KCRJkt/J9ujRo2odJ0nqrbJG+m3Yq+3RuXV9tPZyxwsNasLczBTj5mxE0N5TpR7r4VYdZ7bPgI2VOX7ecRwfLNqqsN+9ZjVc2ze/2ONHff4rtu8/W+5rIHoe7ftzD86fO4PIq1dw47/ryM3NxdwFgejXf1Cpx8bFxmLo6/2QmZmB1wcPxYzZ83RQMemS3oePgoKCEj+nqi1gYl94uFXHw6Q03E9MhYdbdbWP/Wnem2q1i7gWi70hym9MeOVGvNrnIiJFq1Z8h3vx8XBwdIRTjRq4F6/e60kIgXlzpldwdVTZ9D580PNtwvzNuBnzADH3kvDJ2J5Y8EF/tY57f3g3dGxZDzOX7cKST14vse3Fa7FY9OM+bZRLRP9vdsBCuLt7oKZbLfy69iesWLZUreO2bt6ICxfO48Opn2DpV4sruEqqLAY34fStt97Cnj17Smyzb98+vPXWWzqqiCpSyKlriLmXVKZj6tVxwvzJ/bB0/SFciIqtoMqIqCTeL3ZCTbdaZTrmbswdrFj2LUaPeRuNmzStoMpIHxhc+Fi3bh0uXLhQYptLly5h/fr1uimI9IokSfgp4E3E3HuMwJ/+UuuYmjXsMW7wS/jkrVcw8jVv1HJ2qNgiiUhJQUEBAmbPQE03N4wbP7Gyy6EKViVvu2RlZcHEpEpeGpVi8sjueLFlPfR461vk5OapdczLHZvi5Y7/+ysrNzcfq7YexfRvd0EIUVGlElERm4PW42LEeaxdvwlmZmaVXQ5VMIP8DV3ckyxCCMTGxmLfvn1wc3PTcVVU2Rq4O2Pu+32xcstRnLoYXWr7zKwcLFy9D3tCIhAdmwgLc1N0aO6JhR/2x4f+PZCTm485y0u+xUdE5XfndjRWrViG4SP90aJl68ouh3TAIG67GBkZwdjYGMbGxgCAgIAA+fOiHyYmJvD09MTp06cxbNiwUvvNzs5GamqqwocoyK/oy6EKIEkSfp7/Ju49TEHAyr1qHfMw6QkW/bgPl67H4UlGNhKTnmBf6GX0fvd7JCY9wQdvdoeDrWUFV070fHt6u2U6atRwxoRJUyq7HNIRgxj56Nq1qzzaERoaCnd3d3h6eiq1MzY2RrVq1eDr64tx48aV2u8XX3yBefMUnx83dmkP05odtFI36c7E4d3Qobkner27HJlZueXqK+FRGvaHXcHIvt5o28wDh8OjtFQlET1r66aNuHQxAqvXrIOlJcP+88IgwkfRhcWMjIwwduxYzJkzp9z9Tp8+HR999JHCNucu08rdL+lei8a1YWRkhANrPlS5f9wbL2HcGy9hb0gEhnz0c6n9PUpOBwBYWfDeM1FFunYtEkIIvPf2aJX7d27/DTu3/4Zu3Xtg6bKVOq6OKopBhI+itLnImLm5OczNzRW2SUbGWuufdOfY2RvIy1f+2XB1skPvLi8g6tZ9nIy4hQg1H71t18wDAHAn/pFW6yQiRW3btYexsfKvosTEhwg79g8869ZDy1Zt0KQpH72tSgwufBCpsnFPODbuCVfa3qVtQ/Tu8gKOnbuhtLx6u2YeuHDtLvLyFEPLB2/6olPr+rh68x4uXo+r0LqJnnf9BryOfgOUFwI8c/oUwo79g7bt2nN59SpI78PHW2+9BUmSEBgYCBcXF7UXD5MkCWvXrq3g6qiijRnYEZ1a1QcANGvw9AmmsQM7oWu7hgCAvSEXsfeo8tLo6lg0ZQAaebrg+Nn/EJuQDAtzU3i3qIvWTevgcUo63p7FtWKINPXHzu24cP7peyPd+O86AGDX7ztw9vS/AAAf35fR3fflSquPKpfeh49169ZBkiRMmzYNLi4uWLdunVrHMXxUDZ1a1Yd/vxcVt7Wuj06tnwaSO/GPNQ4fW/b9iwE9WuHFlvVQ3cEaABBz7zFWbArBdxsOI+5BcrlqJ3qeXTh/Fn/u2aWwLeL8OUScPwcAcHOrxfDxHJOEnq+idOfOHQBArVq1YGJiIn+uDg8PjzKfz7L1pDIfQ0S68zB8eWWXQETFsDFX7x3l9X7k49kAoUmgICIiIv1hEIuMqSs7Oxt5eeotqU1ERESVw+DCx/HjxzF//nwkJyfL2x49eoTevXvDxsYGdnZ2mDlzZuUVSERERCUyuPDxzTffYP369XBwcJC3ffzxx9i/fz/q1asHBwcHLF68GDt27Ki8IomIiKhYBhc+Lly4gC5dusifZ2RkYNu2bXjllVdw7do1XLt2De7u7li1alUlVklERETF0Th8JCcnIzQ0FOfPn1fad+/ePbzxxhuwt7dHtWrV4O/vjwcPHpSr0EIPHjxArVq15M9PnjyJrKwsjB07FgBga2uLvn37IiqK78dBRESkjzQOH2vXrkX37t3xyy+/KGzPy8vDK6+8gj/++ANpaWlITk7G5s2b0aNHD+Tk5JS7YAsLC6Slpcmf//PPP5AkCd26dZO32djYICkpqdznIiIiIu3TOHwcOHAAADB8+HCF7b/99huuXLkCCwsLzJw5EwsXLoSdnR2uXr2Kn376qXzVAmjQoAH+/vtvZGdnIzc3F7/99hu8vLzg6uoqt4mJiYGzs3O5z0VERETap3H4uHHjBgCgefPmCtu3bdsGSZIwb948LFiwADNmzMCPP/4IIYRWJoGOGzcON27cQMOGDdG0aVPcuHEDY8aMUWhz6tQpeHl5lftcREREpH0ah4/ExETY2NjA1tZWYXtoaCgAYOTIkfK2AQMGQJIkXLlyRdPTyd5++218+umnyMjIQHJyMt577z1MmTJF3h8SEoJbt26hR48e5T4XERERaZ/Gy6ubm5vDzMxMYf7FtWvX0LRpUzRq1EhpwqeTkxPS0tKQnZ1dvopLkZOTg8zMTFhbW8PEpOwLuHJ5dSL9xuXVifSXusurazzy4ezsjIyMDNy/f1/edujQIQBAp06dlNpnZmbC3t5e09OpzczMDPb29hoFDyIiIqp4GoeP9u3bAwCWLl0K4Ol6G6tXr4YkSUq3POLi4pCZmYmaNWuWo1RFd+7cQWBgIIYMGQI/Pz8MHjwYgYGBuH37ttbOQURERNqn8W2X/fv3o3fv3pAkCY0aNUJaWhri4+Ph7OyM6OhoWFpaym2DgoIwatQojBgxAkFBQeUuesWKFfjkk0+Qm5uLZ8s3NTXFkiVL8OGHH2rUN2+7EOk33nYh0l8VftvFz88PAQEBkCQJ165dQ3x8PJycnLBp0yaF4AEAmzdvBgB0795d09PJ9u3bhw8++AAODg4IDAzEyZMnER0djfDwcCxevBiOjo746KOPEBwcXO5zERERkfZpPPJRKCYmBqdOnYKDgwM6dOigNK8jJycHX375JQoKCvDee+8prMehCV9fX1y6dAkRERFwc3NT2h8XF4dWrVqhRYsWOHz4cJn758gHkX7jyAeR/lJ35KPc4UPXHBwcMHLkSKxcubLYNhMnTsSmTZsU3vlWXQwfRPqN4YNIf1X4bZfKkpOTA2tr6xLbWFtba2UpdyIiItI+gwsfjRo1wt69e5GXl6dyf15eHv788080atRIx5URERGROtRaDMPX11crJ5MkSaN5GEWNHj0aH3/8Mfz8/LBkyRK0bdtW3nfmzBlMnz4d165dw9dff13ecomIiKgCqDXnw8hIOwMkkiQhPz+/XH3k5+djyJAh+OOPPyBJEiwtLeHi4oKEhARkZmZCCIH+/ftj586dGtXNOR9E+o1zPoj0l7pzPtQa+Zg7d265itEmY2Nj7Ny5E0FBQVi3bh3Onz+PmJgY2NnZ4cUXX8To0aPh7+9f2WUSERFRMQzmaZfw8HDMnDkTp0+fBvB0hdXAwEB4e3tr9Twc+SDSbxz5INJfVepR20uXLsHb2xtZWVkK262srPDvv//Cy8tLa+di+CDSbwwfRPqrSj1qu3jxYmRlZWHmzJm4f/8+EhISMGPGDGRkZGDx4sWVXR4RERGVgVZGPvbs2YP9+/fjzp07yMzMVHiiJT09HREREZAkCR07dtSof3d3d3h6eiI0NFRhe5cuXRATE4M7d+6Uq/6iOPJBpN848kGkv7Q64bQ4d+/exaBBg3Du3DkAgBACkqR4YnNzcwwfPhyxsbG4cOECmjdvXubzJCQkYNiwYUrbX3zxRXkOCBERERkGjW+7ZGRk4JVXXsHZs2dRq1YtTJw4UeXKoyYmJnjnnXcghMDu3bs1Oldubi5sbGyUttvY2CA3N1ejPomIiKhyaBw+Vq5ciWvXrqFNmzaIjIzE999/rzIgAED//v0BAAcOHND0dERERFRFaHzbZceOHZAkCUuXLi31vVZeeOEFmJiY4Pr165qeDkFBQQgPD1fYduPGDQDAq6++qtRekiQEBwdrfD4iIiKqGBpPOHVwcEBGRgYyMzNhbGwMAKhZsyYePHigchXTGjVqIDU1FdnZ2WU+lyYrlWq6mionnBLpN044JdJfFT7hNDs7G5aWlnLwKE16ejrMzc01Old0dLRGxxEREZH+0Th8ODs7IzY2FsnJyXBwcCixbUREBLKystCkSRONzuXh4aHRcURERKR/NJ5w2qlTJwDAtm3bSm27aNEiSJKEbt26aXo6IiIiqiI0Dh/jx4+HEAIBAQG4evWqyjYZGRmYOHEiduzYIR9DREREzzeNb7t069YNb7/9NtauXQtvb2/06dMH6enpAICvvvoKly5dQnBwMJKTkwEAU6ZMQcuWLbVSNBERERmuci2vnp+fj48//hjLly9HYTdFVzgtXPF06tSp+Oqrr5RWP9VHfNqFSL/xaRci/aXTd7W9cuUK1qxZg7CwMMTHxyM/Px+urq7o3Lkzxo0bZ1AjHgwfRPqN4YNIf+k0fFQlDB9E+o3hg0h/qRs+NJ5wSkRERKSJcr2r7bPu3LmDBw8eAHi6DgjX5yAiIqJnlXvkIz4+HpMnT4azszPq1auHF198ES+++CLq1auHGjVqYPLkyYiNjdVGrURERFQFlGvOx4EDBzB06FCkpqaiuG4kSYKtrS22bt2KXr16aVyornDOB5F+45wPIv1V4e/tcu3aNQwYMABZWVmoVq0axo8fD19fX9SqVQsAEBcXh5CQEPz4449ITEzEoEGDcP78eTRu3FjTUxIREVEVoPHIx5tvvonNmzejRYsWOHjwIGrUqKGyXWJiIl5++WVcunQJI0aMwMaNG8tVcEXjyAeRfuPIB5H+qvCnXQ4fPgxJkrBmzZpigwcAODk54eeff4YQAocOHdL0dERERFRFaBw+kpOTYWNjg3bt2pXatn379rCxsZGXWiciIqLnl8bho2bNmsjPz1e7fUFBAWrWrKnp6YiIiKiK0Dh8vPrqq8jMzMSRI0dKbXv48GFkZGSgb9++mp6OiIiIqgiNJ5wmJCSgVatWsLCwwP79+9GoUSOV7f777z/4+fkhOzsb58+fh7Ozc7kKrmiccEqk3zjhlEh/afVR29DQUJXbv/jiC0ydOhUtW7bE4MGD5UdtJUlCbGwsQkJCsH37dlhYWGDp0qWIiorS+/BBREREFUutkQ8jIyNIknpppsSTSRLy8vLK3U9F4sgHkX7jyAeR/tL6ImPaePNbvoEuERERqRU+CgoKKroOIiIiek6U+43liIiIiMqC4YOIiIh0iuGDiIiIdErjd7UtKjY2FidOnEBsbCzS09NLnFg6Z84cbZySiIiIDFS5wkdiYiLGjx+PXbt2lfokixACkiQxfBARET3nNA4f6enp8PHxQWRkJMzMzNCyZUv8+++/MDMzQ4cOHXD//n3cuHEDAFCtWjU0b95ca0UTERGR4dJ4zsfKlStx9epVNG7cGLdu3UJ4eDiAp0EjNDQU169fR3R0NIYMGYLk5GT06tULISEhWiuciIiIDJPG4eOPP/6AJEn44osvin23Wg8PD2zduhVDhgzBjBkzcPjwYY0LJSIioqpB4/ARFRUFAOjVq5fC9tzcXKW2ixYtghACy5dzWWQiIqLnncbhIysrCw4ODjA3N5e3WVhY4MmTJ0pt69atC3t7e/z777+ano6IiIiqCI3Dh4uLC1JTUxWWXq9RowZycnIQGxur0DY/Px/p6el49OiR5pUSERFRlaBx+PDw8EBBQQHi4+Plba1atQLwdD5IUXv27EFeXh6cnZ01PR0RERFVERqHjx49egAAjhw5Im8bOnQohBCYPn06vvrqKxw8eBBff/01xo4dC0mS0Lt37/JXTERERAZNEhq+z/358+fRtm1b9OzZE/v37wfwdCGxHj164OjRo5AkSW4rhICrqyvOnDkDNzc37VReQSxbT6rsEoioBA/DOXGdSF/ZmEulN0I5Rj5at26NgoICOXgAgCRJCA4OxvTp01G3bl2YmJigevXqePPNNxEeHq73wYOIiIgqnsYjH1UVRz6I9BtHPoj0l7ojHwwfz8jKq+wKiKgkjoN+qOwSiKgYmXsmqNVO49suRERERJpQ643lYmJitHZCd3d3rfVFREREhket8FG3bl2tnEySJOTl8b4GERHR80yt8KGtaSGcXkJERERqhY/o6OiKroOIiIieE2qFDw8Pj4qug4iIiJ4TfNqFiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0SmvhQwiBxMRErb4DLhEREVU95Q4f586dw6BBg2Bvbw8XFxfUq1dPYX9SUhLee+89jB8/Hjk5OeU9HRERERm4coWPjRs3omPHjti1axeePHkCIYTSO9c6OjoiOjoaP//8Mw4ePFiuYomIiMjwaRw+IiMjMW7cOOTm5uKDDz7AmTNn4OTkpLLtqFGjIITA7t27NS6UiIiIqga13tVWlaVLlyInJwcTJ07Ed999BwAwNjZW2dbX1xcAcPLkSU1PR0RERFWExiMfR44cgSRJmDZtWqlt3dzcYGVlxcmoREREpHn4iI+Ph7W1NWrXrq1We0tLS2RmZmp6OiIiIqoiNA4f5ubmyMnJUZpgqkpmZiaSk5Nhb2+v6emIiIioitA4fHh6eiI3Nxf//fdfqW337duH/Px8eHl5aXo6IiIiqiI0Dh+9evWCEALLli0rsd2jR4/w2WefQZIk9OnTR9PTERERURWhcfiYOnUqbGxssHr1asybNw9paWkK+zMzM7F582a0a9cO0dHRqF69OsaPH1/ugomIiMiwSUKdSRvF+PPPP/HGG28gNzcXpqamKCgoQH5+Ppo0aYJbt27Jc0LMzc3x559/okePHtqsvUJk5VV2BURUEsdBP1R2CURUjMw9E9RqV64VTvv27YvQ0FC0bdsWOTk5yMvLgxACkZGRyM7OhhACrVu3RmhoqEEEDyIiIqp4Gi8yVqhDhw74999/cfHiRRw/fhzx8fHIz8+Hq6srOnfujHbt2mmjTiIiIqoiyh0+CrVo0QItWrTQVndERERURZX7XW2JiIiIyoLhg4iIiHRK49suhW8WVxaSJOHw4cOanpKIiIiqAI3Dx9GjR9VqJ0kSAEAIIf+biIiInl8ah4+5c+eWuD8lJQWnTp3CyZMnUb16dUyYMAHGxsaano6IiIiqiAoLH4WOHDmCQYMG4erVq9ixY4empyMiIqIqosInnPr6+mLZsmX4448/sGbNGq32ffXqVfz+++/YuHGjVvslIiKiiqOTp12GDh0KY2NjrYWP06dPo1WrVmjevDkGDx6MMWPGyPtCQ0NhZWWFPXv2aOVcREREpF06CR8WFhawtrZGZGRkufu6cuUKfH19ER0djalTp6J3794K+7t06QInJyds37693OciIiIi7dNJ+IiLi0NKSgrK8R52ssK5JmfPnsXXX3+N9u3bK+yXJAkdO3bE6dOny30uIiIi0r4KDx+ZmZl4//33AQDNmzcvd3///PMPXn/9dTRo0KDYNu7u7rh37165z0VERETap/HTLvPnzy9xf1ZWFu7evYv9+/fj0aNHkCQJEydO1PR0srS0NDg7O5d67vz8/HKfi4iIiLRP4/AREBCg1qJhQggYGRlh5syZGDFihKank9WpUweXL18usc3Zs2dRv379cp+LiIiItE/j8NG1a9cSw4eJiQkcHR3RsmVLDBkyBA0bNtT0VAr69u2L5cuX48iRIyqXeN+2bRvCw8Mxe/ZsrZyPiIiItEsS2pgFqkMPHz5EmzZt8ODBA4wePRr37t3Dvn37sHz5cpw8eRJbtmyBu7s7zp8/D3t7+zL3n5VXAUUTkdY4DvqhsksgomJk7pmgVjuDCx8AcOvWLfj7++PkyZNK+7y9vbFlyxZ4enpq1DfDB5F+Y/gg0l/qhg+Nb7sYGRnByMgIUVFRJT55UhHq1auHsLAwXLhwAeHh4Xj8+DHs7Ozg7e2t9OgtERER6ReNw4elpSVMTU11HjyKatWqFVq1alVp5yciIqKy03idj9q1ayM3N1ebtahl3LhxOHbsmM7PS0RERNqhcfjo06cPsrKy8M8//2iznlKtXbsWPj4+8PT0xKxZsxAVFaXT8xMREVH5aBw+pk+fjho1amDChAk6XU30+PHjePfdd5Geno7AwEA0a9YMHTp0wPLly/Hw4UOd1UFERESa0fhpl9DQUPz333+YOnUqjI2N4e/vj86dO8PZ2RnGxsbFHte1a1eNiy0qLy8PwcHB2LhxI/bt24esrCyYmJjglVdegb+/P/r37w8LC4sy98unXYj0G592IdJfWn/UdsOGDbC0tMTgwYMBPH3aRZ0VThVOJknIy9P+b/fU1FRs27YNQUFB8nwQW1tbJCcnl7kvhg8i/cbwQaS/tB4+jIyMULNmTcTFxcmfa6KgoECj49SRkZGBZcuWISAgAHl5eRq9vwvDB5F+Y/gg0l8Vss5H0ZxSkSGiLIQQOHjwIIKCgrBr1y6kp6cDALp3717JlREREZEqGq/zUdnOnj2LoKAgbN26FQ8ePIAQAl5eXvD398fIkSNRu3btyi6RiIiIVDC48LFo0SJs2rQJ165dgxACrq6umDJlCvz9/bngGBERkQEwuPAxe/ZsWFlZYcSIEXjzzTfRs2dPjeefEBERke4ZXPhYv349Bg0aBGtr68ouhYiIiDRQpvCRkJBQ4hoepdHGo7b+/v7lOp6IiIgqV5lHPjRck4yIiIgIQBnDh7W1NT7++OOKqkUlIyMjGBkZ4erVq2jUqJHai5tV1IJmREREVD5lCh82NjaYO3duRdWiUteuXSFJEqysrBQ+JyIiIsOk9xNOjx49WuLnREREZFj4jCoRERHplMGFj3r16uH7778vsc3q1atRr149HVVEREREZWFw4eP27dulvlttSkoK7ty5o5uCiIiIqEwMLnyoIyUlBebm5pVdBhEREamg9oTTynwX29DQUIXPb9++rbQNAPLz8xEbG4uNGzeiUaNGuiqPKsGfe3fj3NmziLx6Gf9dv47c3FzMX/gF+g8cpNQ2KjISB/b/hatXriAq8gqSkpLQrn0HrF23sRIqJ6pahvk0RGevmmhdvwZe8KwOc1NjjPvuCIKOXFNqO/aVpujTwRPNPKqhhr0l8vILcOdBGv48dRsr9lxE0pNslecY2rUhJvVrjqbu1ZCTV4BTUfexYPNpnLvxsKIvjyqI3j/tAgA+Pj7y47WSJGH9+vVYv369yrZCCEiShMDAQF2WSDq28vtliI+Pg6OjI2rUcEZ8fFyxbUOOHMLan3+EqakpPDzrIikpSYeVElVtASM7wMPFDg9TMnH/cTo8XOyKbTuieyM4WJsj7Mo93E/KgLmpMTo0dsGMYe3wpm9jdP1kJxKSMxWO+XRwG8z390bMgzSs+fsKrC1MMbhLAxz5ciBem/snjl2Or+hLpApgEOFjzpw5kCQJQgjMnz8f3bp1g4+Pj1I7Y2NjVKtWDd27d0fTpk11XyjpzNz5C+Hu4QE3t1pY+/NP+P67b4pt29OvF3y6+6JBw0ZISU5GD5+XdFgpUdU2YcVR3IxPQczDJ/jk9dZYMPrFYtv2nfMnsnPzlbbPGdke04e2w4cDWmHGupPy9vo17TF7eDtcj01Gl092IjUjBwCwau8lHPvmdfww2QctJ2xBfgFX3jY0BhE+AgIC5H//888/GDt2LEaNGlV5BVGle7FjJ7XbNmjQsAIrIXq+hUQUP+r4LFXBAwB+D7uJ6UPboX5NxVGTUS83gamJMb7cflYOHgAQeTcJm0Ku493ezeDTohYOX4jVrHiqNAY34TQkJITBg4ioCunVzgMAcCXmscL2ri+4AQAOn7+rdMyhczEAgC7/34YMi0GMfBARUdXxpm9jeLjYwtbSFK3q1UC3FrVw/uZDfL8rQqFdfTd7pGXkKM0DAYAb8SkAgAZu9jqpmbTLIMPH3bt3sXDhQhw6dAjx8fHIyclRasM3liMi0k/+PRqja/Na8ucHz8Xg7W+PIDld8f/l9lZmeJiiHDwAIC3zaVs7K7OKK5QqjMGFj1u3bsHb2xtJSUlo1qwZsrOz4eHhAQsLC9y8eRN5eXlo2bIlHBwcSu0rOzsb2dmKj3YJY3OuEUJEVIH8Zu4BAFS3tUD7xs5YNKYjTn77BgbMD8bl249LOZqqAoOb8zFv3jykpKTg8OHDiIh4OkQ3duxYREZG4vbt23jttdeQnp6O7du3l9rXF198AXt7e4WPr778oqIvgYiIADxKy8LfZ2LQP+BPVLezwKqJPgr7UzJyih3ZsLV8ur3oRFQyHAYXPg4dOoRXX30V3bp1k7cJ8fQxKzc3N2zbtg0AMHPmzFL7mj59OlJSUhQ+Pp02vWIKJyIilWIT0xEVm4S2DZ1hafa/Afmb8SmwtTKDi4Ol0jGFcz0K536QYTG48JGYmIgmTZrIn5uYmCAjI0P+3NzcHD179sSff/5Zal/m5uaws7NT+OAtFyIi3XN1tIYQAvlFVtM+duXpAmI9WtdRav9yG/enbbjImEEyuPDh5OSE9PR0hc9v376t0MbExKTUN58jIiLdqWZrjqZ1HFXumzm8HVwdrfDPpXjk5P0vfGw4FIXcvHxMG9xW4fZL0zqOGNm9EW7eS8HRi+qvM0L6w+AmnDZs2BA3b96UP+/QoQP279+PW7duoV69enj48CF27NiB+vXrV2KVVNF+37Ed58+dBQD899/1p9t2bseZ0/8CALr3eBm+PV4GAETfuolf1vwMAMjKzvr/bbcwe8bnAAAHR0d8/Ok0ndZPVFWM6dkUnbxcAQDNPKoDePoeLl2bP11/Y294NPaeuo3aTjY4tWwITl9LQOTdJCQkZ6C6rQU6N6uJxrUdce9xOqb8eEyh7xvxKVi45Qzm+Xvj9PdD8MeJm7AyN8WQrg1gamyE91cc5eqmBsrgwkfv3r0REBCA5ORkODg4YMqUKdi7dy9atGiBpk2b4saNG0hNTVVYFZWqnvPnzmLP7j8Utl04fw4Xzp8DALjVqiWHj8TERKW2jx79b5ubWy2GDyINdfJyhX+PJs9sq4lOXjUBAHcepGHvqduIeZCGJdvPoesLbvBr545qNubIysnHjXsp+OK3M1ix5yIepym/sdyS7ecQ8yANk/q1wLjezZCTW4DwqAQs2PQvzvKN5QyWJApnaxqI1NRUREZGwsvLC7a2tgCA7du3IyAgALdu3YKHhwcmT56MiRMnatR/FpcGIdJrjoN+qOwSiKgYmXsmqNXO4MJHRWP4INJvDB9E+kvd8GFwE06JiIjIsBncnI+YmJhS2xgZGcmPzhIREZF+Mbjw4enpCUmS1Grr7OyMgQMHYu7cuXBxcangyoiIiEgdBnfbZdSoUejSpQuEEHB0dISPjw+GDh0KHx8fODo6QgiBrl27ok+fPrCwsMDq1avRrl073Lt3r7JLJyIiIhhg+Pj0008RERGBgIAA3L17F4cPH8bmzZtx+PBh3L17F3PnzkVERAQWL16MmzdvYsGCBYiLi8PChQsru3QiIiKCAT7t0qdPHxQUFOCvv/4qtk3v3r1hYmKCvXv3AgC8vb3x4MEDREdHl9o/n3Yh0m982oVIf1XZp13CwsLQtm3bEtu0adMGx479b6U8b29v3nYhIiLSEwYXPgoKChSWV1fl5s2bKDqgY2pqCgsLi4oujYiIiNRgcOHjpZdews6dO/HHH3+o3P/7779j586d6Ny5s7zt+vXrcHNz01WJREREVAKDe9T2yy+/ROfOnfHGG2+gdevW6NSpE2rUqIGHDx/ixIkTOH/+PKytrbF48WIAwKNHj3Dw4EG88847lVw5ERERAQYYPpo3b45jx45h0qRJCAsLw7lz5xT2d+7cGcuXL0eLFi0AAA4ODkhISICVlVVllEtERETPMLjwAQAtW7bEsWPHEBMTg4iICKSmpsLOzg4tW7aEu7u7QltjY2PY29tXUqVERET0LIMMH4Xc3d2VwgYRERHpN4MNHzk5OTh06BCioqKQnp6O2bNnAwCysrKQmpoKJycnGBkZ3HxaIiKiKs8gfzvv2bMH7u7ueO211/DJJ58gICBA3nfx4kXUrFkTW7durbwCiYiIqFgGFz7CwsLwxhtvwNzcHMuWLcOIESMU9nfo0AENGjTAzp07K6lCIiIiKonB3XZZuHAhHBwccObMGdSoUQOPHj1SatO2bVv8+++/lVAdERERlcbgRj7Cw8PRv39/1KhRo9g2derUwf3793VYFREREanL4MJHdnZ2qY/OpqSkcLIpERGRnjK439D16tXDmTNnSmxz8uRJNGnSREcVERERUVkYXPh4/fXXcezYMWzYsEHl/q+//hqXL1/G0KFDdVwZERERqUMSRd/+1QA8efIEL774IiIjI9GjRw9kZWUhLCwMH3/8MU6ePIkTJ06gVatWOHHiBMzNzcvcf1ZeBRRNRFrjOOiHyi6BiIqRuWeCWu0MLnwAQFJSEiZNmoRt27YhPz9f3i5JEoYMGYJVq1bB0dFRo74ZPoj0G8MHkf6q0uGj0KNHj3D69Gk8fvwYdnZ2aN++PVxcXMrVJ8MHkX5j+CDSX+qGD4Nb56Oo6tWro1evXpVdBhEREZWBQYSP999/v8zHSJKElStXVkA1REREVB4GcdulLGt2SJIk/7vofBB18bYLkX7jbRci/VWlbruEhISo1S4mJgbz58/HzZs3FUIIERER6Q+DCB/dunUrcX9SUhICAwOxcuVKZGVloWPHjvjyyy91VB0RERGVhUGEj+JkZWXhu+++w5IlS5CcnIwmTZogMDAQAwYMqOzSiIiIqBgGt8IpAAghsGbNGjRs2BAzZsyAlZUVfvrpJ1y+fJnBg4iISM8Z3MjHrl27MGPGDFy7dg12dnYIDAzElClTYGFhUdmlERERkRoMJnwcP34c06ZNQ3h4OMzMzDB16lTMnDlT45VMiYiIqHIYRPjo168fgoODYWRkhNGjR2P+/PmoXbt2ZZdFREREGjCYdT4kSYKnpycaN26s1jGSJCE4OLjM5+I6H0T6jet8EOmvKrXOB/B0kml0dDSio6PVas91PoiIiPSTQYQPdQMHERER6T+DCB8eHh6VXQIRERFpiUGu80FERESGi+GDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0iuGDiIiIdIrhg4iIiHSK4YOIiIh0ShJCiMougqiiZGdn44svvsD06dNhbm5e2eUQURF8fT6/GD6oSktNTYW9vT1SUlJgZ2dX2eUQURF8fT6/eNuFiIiIdIrhg4iIiHSK4YOIiIh0iuGDqjRzc3PMnTuXk9mI9BBfn88vTjglIiIineLIBxEREekUwwcRERHpFMMHERER6RTDB1U5t2/fhiRJGDNmTJmOkyQJPj4+FVITEVUMHx8fSJJU2WVQGTF8kNYV/vIv+mFmZoY6depgxIgRuHjxYqXUxf9J0fOk6Ouwb9++KtscPXoUkiRh/PjxOq5OfQEBAZAkCUePHq3sUkiLTCq7AKq66tevjzfffBMA8OTJE4SHh2PLli34/fffceTIEXTq1KlCzlurVi1ERkbC3t6+TMdFRkbCysqqQmoiqkzBwcEIDQ1F165dK7sUrduwYQMyMjIquwwqI4YPqjANGjRAQECAwrZZs2Zh0aJFmDlzJkJCQirkvKampmjSpEmZj9PkGCJ95+npiZiYGEybNg0nT56s7HK0zt3dvbJLIA3wtgvp1OTJkwEAp0+fBgDk5eXh22+/RcuWLWFpaQl7e3t0794dwcHBSscWFBRgzZo16NChA6pVqwYrKyt4enpiwIABCA0NldupmvMhSRL++ecf+d+FH8+2KTrn46233oIkSTh27JjKa1m0aBEkScLGjRsVtl+8eBHDhg1DzZo1YWZmBg8PD0yePBmPHj0q09eKSBsaN24Mf39/hIeH4/fff1frmLS0NMydOxfNmjWDpaUlHBwc0KtXLxw/flxl+4sXL+LVV1+Fra0t7O3t8eqrr+Ly5csYM2YMJEnC7du35bYpKSn48ssv0a1bN7i5ucHMzAxubm4YNWoUbt68qdCvj48P5s2bBwDo3r27/Lr19PRUaFP0duqGDRsgSRIWLFigstawsDBIkoS3335bYfuDBw8wdepUNGjQAObm5nBycsLrr7+Oy5cvq/U1o7LhyAfpVNH/SQghMHToUPz+++9o1KgRJk6ciPT0dGzbtg19+/bFsmXL8MEHH8jtp0+fjiVLlqB+/foYMWIEbG1tERcXh2PHjuHIkSMlDinPnTsX69atw507dzB37lx5e6tWrYo9xt/fH7/++iuCgoLQpUsXpf2bNm2CtbU1Bg4cKG/bs2cPhgwZAmNjY/Tr1w916tTB1atXsWLFCuzfvx+nTp2Co6Ojul8uIq2YP38+tm7dihkzZqB///4wNjYutu3jx4/RtWtXXLlyBV26dIGfnx9SUlKwe/dudO/eHdu3b8eAAQPk9hEREejSpQsyMjIwaNAgNGjQAGfPnsVLL72Eli1bKvUfGRmJOXPmoHv37hg4cCCsra0RFRWFzZs3Izg4GOfOnYOHhwcAyH8c/PPPPxg9erQcOhwcHIqtf9CgQZgwYQI2bdqE2bNnK+0PCgoC8PT1XejmzZvw8fFBXFwcXnnlFQwYMAAPHjzAzp07sX//fhw+fBje3t7FnpM0IIi0LDo6WgAQfn5+SvtmzpwpAAgfHx+xYcMGAUB069ZNZGdny23u3r0rnJ2dhampqbh165a8vVq1aqJWrVoiPT1doc+CggLx6NEjpfOPHj1aoV23bt1EST/yhbUU7bdOnTrC0dFRoT4hhDhz5owAIN588015W2JiorCzsxO1a9cWd+7cUWi/efNmAUBMmjSp2PMTadOzr8OPPvpIABA//vij3CYkJEQAEO+99568bcSIEQKA+OWXXxT6u3//vqhTp46oUaOGyMzMlLe/9NJLAoDYvn27Qvu5c+cKAAKAiI6OlrcnJycrvF4LHTlyRBgZGYl33nlHZT8hISEqr1PV63rkyJECgPj3338Vtufk5Ijq1auLOnXqiIKCAnl7p06dhImJiThw4IBC+2vXrglbW1vRvHlzlecmzfG2C1WYGzduICAgAAEBAfjkk0/w0ksvYdGiRbCwsEBgYCDWrVsHAFiyZAnMzMzk42rXro2pU6ciNzcXmzZtUujTzMwMJiaKA3aSJKFatWpar1+SJIwYMQJJSUlKt4EK/3oqnFALPB3uTU1NxRdffKF0H3r48OFo06YNtm7dqvU6idQxc+ZM2NvbY968ecVO0ExMTMRvv/2GHj16YOzYsQr7XFxc8Omnn+Lhw4c4dOgQAODOnTs4fvw4WrdujTfeeEOh/WeffabydWlvb69ye/fu3dGsWTO57/IofF0Wvk4L7du3D48ePcLIkSPlUdjz58/jxIkTGD16NHr27KnQvlGjRhg3bhwuXbrE2y9axtsuVGFu3rwp3681NTWFi4sLRowYgc8//xzNmzfH+fPnYWlpiQ4dOigdWzj34sKFC/K2IUOGYPXq1XjhhRcwdOhQdOvWDR07doS1tXWFXYO/vz++/PJLBAUFybdX8vPzsWXLFri6uuLll1+W24aHh8v/vXHjhlJfWVlZSExMRGJiIpycnCqsZiJVqlWrhmnTpmHGjBn47rvvMGPGDKU2p0+fRn5+PrKyspQmiwPAf//9BwCIiopC3759ERERAQAqn1yzsrJCy5YtVU4sP3r0KL777jucOnUKiYmJyMvLk/cV/UNEUz179oSrqyu2bt2KpUuXyreZCudnFb3lUvi6vX//vsprjoqKkv/7wgsvlLs2eorhgyqMn58f/v7772L3p6amok6dOir3ubq6Ang6Oa3Q999/j3r16mHdunVYuHAhFi5cCAsLCwwZMgTffPNNhfxCb9asGVq3bo3g4GAkJyfDwcEBBw8eREJCAj766COFe+ePHz8GAKxcubLEPtPT0xk+qFJMmTIFK1aswJIlS/Dee+8p7S/8GQ4LC0NYWFix/aSnpwN4+hoGgBo1aqhs5+LiorRt+/btGDp0KGxsbODn5wdPT09YWVlBkiR5XlZ5GRsbY/jw4fj2229x8OBB9OrVCykpKQgODkabNm3g5eUlty285uDgYJUT3QsVXjNpB2+7UKWxs7NDQkKCyn2F2+3s7ORtpqam+PTTT3HlyhXExcVh8+bN6NKlCzZs2ICRI0dWWJ3+/v7Izs7Gjh07AKiesFa01kuXLkEIUexH4WQ6Il2ztLREQEAAUlJSEBgYqLS/8Gf4448/LvFnuHDSdmH7hw8fqjyfqtd3QEAALCwscPbsWWzfvh1fffUV5s2bJ2/XlsLXZ+Hrdfv27cjKyir2dbt8+fISr3n06NFaq40YPqgStW7dGpmZmfj333+V9hU+Flvc0yhubm4YPnw4/v77bzRs2BCHDh1CZmZmiecrHKXIz88vU53Dhw+HsbExgoKCkJ6ejl27dqFZs2ZKtRXOhq+KaylQ1fHWW2+hSZMmWLlyJWJiYhT2tW/fHpIkqf0zXPg0y4kTJ5T2ZWRkyLdlirp58yaaNm2Khg0bKmyPj49XetQW0Px127p1a3h5eWHXrl1IT09HUFCQPCJSFF+3lYPhgypN4V8S06dPR25urrw9Li4OS5cuhYmJiTyikZ2djSNHjkAIodBHeno60tLSYGpqWuLjgwDkSW6xsbFlqrNwbkdoaCiWLVuG9PR0pb+eAGDs2LGwtbXFzJkzceXKFaX9GRkZ8v1lospibGyMwMBAZGdnY/78+Qr7XF1dMWTIEJw4cQJfffWV0usNAE6dOiVPWPXw8EDnzp1x/vx5eWSw0FdffSXf0ijKw8MDN27cUBgVycrKwoQJExTmfhTS9HULPB39SE9Px7JlyxAaGoqePXsq3Qrq0KEDvL29sWXLFvz2229KfRQUFMh/DJH2cM4HVRp/f3/8/vvv2L17N1q0aIG+ffvK63w8evQI33zzDerVqwcAyMzMRI8ePVCvXj14e3vD3d0dT548wZ9//on79+9j2rRppU5U8/X1xY4dOzB48GC8+uqrsLCwQPPmzdGnTx+1at2/fz8CAgJgZGSk8jZPjRo1sGXLFgwePBgtW7ZEr1690KRJE2RlZeHOnTv4559/0KlTpxLnwRDpwsCBA9GxY0eVf+2vWrUK165dw2effYaNGzeiY8eOsLe3x927d3H27Fn8999/uHfvnvxWBMuXL0fXrl0xbNgwvP7666hfvz7OnTuH8PBwdO3aFaGhoTAy+t/fuZMnT8bkyZPlJ2Ty8vJw8OBBCCHQsmVLpdGSwsXFZs6ciaioKNjb28Pe3h4TJkwo9TpHjhyJGTNmICAgAEIIlX80AMCWLVvQvXt3DBs2DN999x3atm0LCwsLxMTE4OTJk3j48CGysrLK8iWm0ujsoV56bpS0zsezcnNzxddffy2aN28uzM3Nha2trejWrZvYvXu3QrucnBzx5ZdfildeeUXUrl1bmJmZCRcXF9GtWzexdetWled/dp2P3Nxc8dlnnwl3d3dhYmKi1AbPrPNRVHp6urCxsREARPfu3Uu8pqioKPH2228LDw8PYWZmJhwdHUXz5s3FBx98oLTuAFFFKe11GBoaKq/DUXSdDyGEyMjIEEuWLBFt27YV1tbWwtLSUtStW1cMGDBAbNiwQeTm5iq0P3/+vPDz8xM2NjbC1tZW9O7dW1y6dEn07dtXABBJSUly24KCArF69WrRrFkzYWFhIVxdXcXbb78tEhISil2LZ926dfL/IwAIDw8PeV9p6/d0795dABA2NjZKawQV9fjxYzFr1izxwgsvCEtLS2FjYyMaNmwoRowYIX7//fdijyPNSEKoGFcjIiIqh/z8fNSvXx+ZmZnFTiyn5xfnfBARkcby8vKQmJiotH3x4sW4c+eOwlLsRIU48kFERBpLTk6Gi4sLevbsiUaNGiE3NxenTp3C6dOnUbNmTZw9exY1a9as7DJJzzB8EBGRxnJycjBlyhQcOXIE8fHxyMrKQs2aNdG7d2/Mnj0btWrVquwSSQ8xfBAREZFOcc4HERER6RTDBxEREekUwwcRERHpFMMHERER6RTDBxEREekUwwfRc2TMmDGQJAljxoxR2ufj4wNJkhAQEKDzuipaea7N09MTkiRh3bp1elNTeR09ehSSJEGSJJ2fmwhg+CBSW0BAgPw/7KIfFhYWqF27Nvr164dt27apfCfQ51FycjICAgIQEBCA5OTkyi6HiPQI39WWSANF35Y7JSUFcXFxiIuLw969e7Fu3Tr88ccfMDc3r8QKy87d3R2NGzeGk5OTVvpLTk7GvHnzADwdcXFwcNBKv0Rk+DjyQaSB+/fvyx/p6em4fPkyevbsCQD466+/MGvWrEqusOw2bNiAqKgoTJo0qbJLIaIqjuGDqJyMjIzQrFkz7NmzBw0aNAAA/Pjjj8jLy6vkyoiI9BPDB5GWWFhYYPDgwQCAtLQ0REVFAQBu374tzw+5ffs2bt68iXfffRd169aFubk5PD09lfratWsXBgwYADc3N5iZmcHR0RFdu3bF6tWrkZubW2IdmzZtQufOnWFrawt7e3t4e3vjp59+KnUuijoTICMjIzFx4kR4eXnB1tYWNjY2aNy4MYYNG4adO3eioKBA7qtu3brycXXr1lWYJ+Pj46PUd35+PtatWwc/Pz+4uLjAzMwMNWrUgJ+fH7Zu3Vpi/fn5+VixYgXatGkDa2trVKtWDT4+PtixY0eJ11xeMTExWLlyJfr06YNGjRrB2toaNjY28PLywpQpUxATE6NWPzk5OVi8eDFatGgBa2trODo6omfPnvjrr79KPfbmzZuYPHkymjZtChsbG1hZWaFp06ZlOv+zoqKi8O6776JRo0awsrKCpaUl6tSpgxdffBEzZsyQf7aJNCaISC1z584VAERJL5uVK1fKbcLCwoQQQkRHR8vbNm3aJGxsbAQAYWVlJaytrYWHh4d8fFpamujbt6/cHoCws7MTkiTJn3fs2FE8fvxY6dwFBQVi7NixcjtJkoSjo6MwMjISAMSwYcPE6NGjBQAxevRopeO7desmAIi5c+eqvLbFixfLfQEQFhYWwtbWVqHWpKQkIYQQAwcOFE5OTvJ2Jycn4eLiIn8MHDhQoe/79+8Lb29vhb7s7e0VPu/Xr5/Izs5WqisrK0v4+fnJ7YyMjISDg4P8NZs2bVqp11YSDw8PAUD8+uuvxX7NitZc9Gtkb28vjh07prLfwmOnT58uunTpIgAIExMT4eDgoNBnSTX/9NNPwtTUVG5rbm4uLC0tFX52Dhw4oHRcSEhIsT/LBw4cEObm5vJ+U1PTMtVEpA6GDyI1qRM+Pv30U7lNZGSkEEIxfNjY2Ahvb29x+vRp+Zhr167J/x4wYIAAIBo0aCA2b94sUlNThRBCZGZmit27d4t69eoJAGLAgAFK5162bJl8nkmTJomHDx8KIYRITk4WAQEBQpIk+ZdIWcPHqlWrFELA+fPn5X2PHj0SBw4cEEOHDhUpKSny9qLXHR0dXezXLDs7W7Rv314AEG3atBHBwcEiPT1dCCHEkydPxPr164Wzs7MAIKZMmaJ0/NSpU+WwtXDhQrmGhIQEMWHCBIUgo+3wMXHiRLF48WJx9epVkZGRIYQQIjc3V5w6dUr06tVLABBubm7yvqIKv9729vbC3NxcrF69WmRmZgohhIiJiRFvvPGG/PXbvXu30vF//PGHHA4+//xzcfv2bVFQUCAKCgpEVFSUGDx4sBxA7ty5o3BsSeGjQYMGAoB45ZVXxKVLl+TtmZmZ4tKlSyIgIED88ssvZfoaEj2L4YNITaWFj5SUFOHm5iYAiGrVqon8/HwhhOIvYQ8PD5GWlqby+D///FMAEK6uriI2NlZlm7t37wpra2sBQCEAZGZmimrVqgkAwt/fX+Wxn3/+uVxHWcLH48eP5RGOYcOGiYKCApX9P0vd8LFixQoBQDRr1kwOW886c+aMkCRJmJmZiYSEBHl7XFycMDExEQDE7NmzVR47fPjwcv3FXlL4KEleXp5o0aKFACA2btyotL/oqMnatWuV9ufn54uuXbsKAMLLy0thX3Z2tqhVq1axxxbq16+fACA+/PBDhe3FhY+EhAR5e3x8fBmulqhsOOeDqJySk5Nx+PBh+Pr6Ij4+HgDw4YcfwshI+eU1adIk2NjYqOxnzZo1AAB/f3/UqlVLZZvatWuje/fuAID9+/fL2w8cOIDHjx8DAObMmaPy2M8//xwWFhZqXtX/7NixA2lpaTA1NcXSpUu1vjBV4XW///77sLW1Vdmmbdu2aNasGXJychASEqJQW15eHiwtLfHJJ5+oPLayFk0zNjZGr169AADHjx8vtl2dOnUwduxYpe1GRkbyU1NXr17FpUuX5H1//fUX4uLi4OLiovLYQqNGjQKg+LNSEltbW/nn9t69e2odQ6QJrvNBpIGSfgG/+eabmDlzpsp9nTt3Lva4wl9QP/30EzZs2FBsu5SUFADAnTt35G1nzpwB8PQXWeETN8+yt7dH27ZtERYWVmzfqpw4cQLA0wBQs2bNMh1bmrS0NFy8eBEAMHv2bMyfP7/YtoXhStV1t2vXDnZ2diqPa9SoEWrVqoW4uDhtla3g2LFjWLt2LcLDwxEbG4v09HSlNrGxscUeXzjRV5WuXbvCxMQEeXl5OHPmDJo3bw7gfz8rSUlJJX5PcnJyACh+zUpiaWmJHj164ODBg+jVqxfGjx+PPn36oHXr1jAzM1OrDyJ1MHwQaaDoImPm5uZwcnJC69atMXLkSHlkQhVnZ2eV23Nzc5GYmAjgabgoDBglycjIkP/94MEDACh2xKRQ7dq1S+33Wffv3wcAeHh4lPlYdfoufEKmMFyURtPrrojwMW3aNCxZskT+3NjYGI6OjvIv6idPniA9PV1lIClUUu3m5uaoXr06EhIS5GsFII+w5eTkICEhodQ6MzMzS21TaM2aNejXrx8iIiKwYMECLFiwAGZmZmjfvj369++Pt99+G9WqVVO7PyJVGD6INFD4C7msjI2NVW7Pz8+X/71161YMHTpUo/4r8r06KqLvotcdHh4Ob29vjfqpjPcoOXjwoBw83n//fUyYMAFNmzZV+B7Pnj0bCxcuLPExYU1qL/y69erVS63HccvC3d0d586dw8GDB7Fv3z6EhYUhIiICYWFhCAsLwxdffIEdO3bA19dXq+el5wvnfBDpAQsLC9jb2wOAwr19dRWOqJQ0vA9Ao7/+C4f1b9++XeZjS1N0BEnfrrs0W7duBQD4+flh5cqVeOGFF5TCpTohtaTas7Oz8ejRIwCKo2aurq4ANPuaqcPIyAh+fn5YtmwZzpw5g8ePH2PTpk1wd3dHUlISRowYId/SIdIEwweRniicD7J9+3b5VoS62rVrBwC4e/cubt68qbJNamoqzp49W+a6OnXqBODp/IqyTEIsOuG2uL/8HR0d4eXlBeB/v8zLovC6z5w5g7S0NJVt/vvvv1LDiSbu3r0LAGjdurXK/UIIHDlypNR+/vnnn2K/PseOHZNXyi28VuB/PytxcXElTmbVFltbW4wYMQJr164FACQkJFRY8KHnA8MHkZ549913AQDXr1/HV199VWLb9PR0hb88e/bsCUdHRwDAggULVB6zZMmSMt37LzR48GDY2dkhLy8PU6dOVftde4tOAC3pXW0Lr/vw4cOlBpBn54W8/vrrMDExQWZmJr755huVx5Q0ibU8CkeqIiIiVO5fvXo1bt26VWo/MTExWL9+vdL2goICBAYGAgCaNm0qTzYFgNdee00ekfrwww8V5sGoou58mtJGMywtLeV/F3cLkUgdDB9EeqJ///4YOHAggKePxU6YMAHXr1+X9+fk5ODUqVOYNm0aPDw8FCYgWlpaYvbs2QCA9evXY8qUKfJwfWpqKhYsWIDAwECN3lnW3t5entvw22+/YeDAgbhw4YK8PykpCcHBwejfvz9SU1Pl7Q4ODvJkyl9//bXY97oZP368PNfD398fs2bNkkcVgKcTTI8ePYpJkyahfv36CsfWqlUL77//PoCnoeuLL76QR0AePnyISZMmISgoSA4K2lT4GO1ff/2FBQsWyJNKk5OTERgYiMmTJ6N69eql9mNvb48JEybg559/RlZWFoCnoyrDhw+XHytetGiRwjEWFhZYtWoVJEnCuXPn0LlzZ+zfv18hPERHR+PHH39Ehw4dsGrVKrWu6cSJE2jRogW+/fZbREZGyiNwQgicOHECEyZMAPB0Am/RMERUZpW5yAiRIVFnhVNV1F1sSwgh0tPTxbBhwxSWsra2tlZYJr3w49mFyPLz84W/v7/CMuOOjo7C2NhYK8urBwYGKtRgaWlZ7PLqhRYsWKCw9HedOnWEh4eHGDp0qEK7hw8fCl9fX4W+7OzsFJZJx/8vP/6szMxM8fLLL8ttjI2NhaOjY4Uvr56TkyMviw4oL2ffp08fMWvWLAFAdOvWTanfosurv/TSS/JqpY6Ojgpfh1mzZhVbW1BQkLCyslL4+lSvXl1heXQAYuHChQrHFbfIWNHthfVUr15dXsit8PsSGhpa5q8jUVEc+SDSI1ZWVtiyZQtCQkLg7++PevXqoaCgAE+ePIGzszN8fX2xZMkS/Pfff0qPaBoZGWHDhg3YsGEDXnzxRVhaWiIvLw9t2rTB6tWrsXnz5nLVNn36dERERGDcuHHyWiJCCDRu3BjDhw/H77//rrTWxowZM7Bs2TK0a9cOpqamiI2NxZ07d5QmYjo5OeHQoUPYvXs33njjDdSpUwfZ2dnIzMxErVq10Lt3b6xYsULlpFcLCwv89ddfWLZsGVq1agUzMzMIIdClSxds27YNixcvLtd1F8fU1BQHDhzA3Llz0ahRI5iamkIIgQ4dOuCHH37Anj171Lo1YWZmhsOHDyMwMBCNGzdGdnY27O3t0aNHDwQHBxd7Gw0ARo4ciRs3bmDWrFlo164dbGxskJycDAsLC7Rq1QqTJk3CoUOHMG3aNLWuqX379ti2bRsmTJiAtm3bwsnJCSkpKXJ/n332GSIjI9GlSxe1v05EqkhCqHkDl4iIiEgLOPJBREREOsXwQURERDrF8EFEREQ6xfBBREREOsXwQURERDrF8EFEREQ6xfBBREREOsXwQURERDrF8EFEREQ6xfBBREREOsXwQURERDrF8EFEREQ6xfBBREREOvV/xYTa+TG+H8IAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns # To display confusion matrix\n",
    "    \n",
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def cm_disp(cm, title='Confusion Matrix', save_fig=False):\n",
    "    ''' \n",
    "    Display confusion matrix\n",
    "    '''\n",
    "    global label_size, ticklabel_size\n",
    "    \n",
    "    # Create a figure and axis\n",
    "    fig, ax = plt.subplots(figsize=(6, 4))\n",
    "    \n",
    "    # Use seaborn to create a heatmap without color bar\n",
    "    sns.heatmap(cm, annot=True, fmt='.0f', cmap='Blues', ax=ax, annot_kws={'size': ticklabel_size}, cbar=False)\n",
    "    \n",
    "    # Set ticklabels\n",
    "    ax.set_xticklabels(['Positive', 'Negative'])\n",
    "    ax.set_yticklabels(['Positive', 'Negative'], rotation=90)\n",
    "    \n",
    "    # Set labels and title with custom font sizes\n",
    "    ax.set_xlabel('Predicted labels', fontsize=label_size)\n",
    "    ax.set_ylabel('True labels', fontsize=label_size)\n",
    "    ax.set_title(title, fontsize=label_size)\n",
    "    \n",
    "    # Set tick label font size\n",
    "    ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "    \n",
    "    if save_fig:\n",
    "        plt.savefig(f'{title.replace(\" \", \"_\")}_confusion_matrix.png', dpi=300, bbox_inches='tight')\n",
    "    \n",
    "    # Show the plot\n",
    "    plt.show()\n",
    "    \n",
    "# Get confusion matrix of all models\n",
    "# Predictions for each model\n",
    "y_pred_lr = mdl_lr.predict(X_test)\n",
    "y_pred_svm = mdl_svm.predict(X_test)\n",
    "y_pred_dt = mdl_dt.predict(X_test)\n",
    "y_pred_rf = mdl_rf.predict(X_test)\n",
    "\n",
    "# Confusion matrices for each model\n",
    "cm_lr = confusion_matrix(y_pred_lr, y_test)\n",
    "cm_svm = confusion_matrix(y_pred_svm, y_test)\n",
    "cm_dt = confusion_matrix(y_pred_dt, y_test)\n",
    "cm_rf = confusion_matrix(y_pred_rf, y_test)\n",
    "\n",
    "# Display the confusion matrices\n",
    "save_flag = False\n",
    "cm_disp(cm_lr, title='Logistic Regression', save_fig=save_flag)\n",
    "cm_disp(cm_svm, title='Support Vector Machine', save_fig=save_flag)\n",
    "cm_disp(cm_dt, title='Decision Tree', save_fig=save_flag)\n",
    "cm_disp(cm_rf, title='Random Forest', save_fig=save_flag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7c18211d-fab5-40c7-ba7c-32a432fffe64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression Accuracy: 0.8667\n",
      "Support Vector Machine Accuracy: 0.9600\n",
      "Decision Tree Accuracy: 0.9167\n",
      "Random Forest Accuracy: 0.9500\n"
     ]
    }
   ],
   "source": [
    "def getAccuracyFromCM(cm):\n",
    "    # Calculate total number of samples\n",
    "    total = np.sum(cm)\n",
    "    \n",
    "    # Calculate number of correct predictions (sum of diagonal elements)\n",
    "    correct = np.trace(cm)\n",
    "    \n",
    "    # Calculate accuracy\n",
    "    accuracy = correct / total\n",
    "    \n",
    "    return accuracy\n",
    "\n",
    "# Accuracy of each model\n",
    "acc_lr = getAccuracyFromCM(cm_lr)\n",
    "acc_svm = getAccuracyFromCM(cm_svm)\n",
    "acc_dt = getAccuracyFromCM(cm_dt)\n",
    "acc_rf = getAccuracyFromCM(cm_rf)\n",
    "\n",
    "# Print accuracies\n",
    "print(f\"Logistic Regression Accuracy: {acc_lr:.4f}\")\n",
    "print(f\"Support Vector Machine Accuracy: {acc_svm:.4f}\")\n",
    "print(f\"Decision Tree Accuracy: {acc_dt:.4f}\")\n",
    "print(f\"Random Forest Accuracy: {acc_rf:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dd6bbf3e-7422-409a-a3c8-b43d2bb39a08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.datasets import make_moons\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "label_size = 18 # Label size\n",
    "ticklabel_size = 14 # Tick label size\n",
    "\n",
    "# Generate moon-shaped data\n",
    "X, Y = make_moons(n_samples=1000, noise=0.4, random_state=42)\n",
    "\n",
    "# Split X and Y into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n",
    "\n",
    "# Plot the data\n",
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.scatter(X_train[y_train == 1, 0], X_train[y_train == 1, 1], color='red', label='Positive - Train')\n",
    "ax.scatter(X_test[y_test == 1, 0], X_test[y_test == 1, 1], color='orange', label='Positive - Test')\n",
    "ax.scatter(X_train[y_train == 0, 0], X_train[y_train == 0, 1], color='blue', label='Negative - Train')\n",
    "ax.scatter(X_test[y_test == 0, 0], X_test[y_test == 0, 1], color='green', label='Negative - Test')\n",
    "ax.set_xlabel('Feature 1', fontsize=label_size)\n",
    "ax.set_ylabel('Feature 2', fontsize=label_size)\n",
    "\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set legend fontsize\n",
    "plt.legend(prop={'size': 14})\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6372edab-e044-4e09-88ef-f4ef24536906",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Support vector machine trained successfully...\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "# Model Definition\n",
    "mdl_svm = SVC(probability=True)\n",
    "\n",
    "mdl_svm.fit(X_train, y_train) # Support Vector machine\n",
    "print('Support vector machine trained successfully...')\n",
    "\n",
    "# Predict probabilities\n",
    "y_proba_svm = mdl_svm.predict_proba(X_test)[:, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f2723da9-964c-4950-bfad-bd6d7e28ca86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "When threshold = 0.00 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.01 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.02 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.03 - Sensitivity: 1.0000, Specificity: 0.0000\n",
      "When threshold = 0.04 - Sensitivity: 1.0000, Specificity: 0.0833\n",
      "When threshold = 0.05 - Sensitivity: 1.0000, Specificity: 0.1538\n",
      "When threshold = 0.06 - Sensitivity: 0.9931, Specificity: 0.3333\n",
      "When threshold = 0.07 - Sensitivity: 0.9931, Specificity: 0.4038\n",
      "When threshold = 0.08 - Sensitivity: 0.9861, Specificity: 0.5000\n",
      "When threshold = 0.09 - Sensitivity: 0.9792, Specificity: 0.5321\n",
      "When threshold = 0.10 - Sensitivity: 0.9792, Specificity: 0.5962\n",
      "When threshold = 0.11 - Sensitivity: 0.9792, Specificity: 0.6218\n",
      "When threshold = 0.12 - Sensitivity: 0.9792, Specificity: 0.6538\n",
      "When threshold = 0.13 - Sensitivity: 0.9722, Specificity: 0.6731\n",
      "When threshold = 0.14 - Sensitivity: 0.9583, Specificity: 0.6987\n",
      "When threshold = 0.15 - Sensitivity: 0.9583, Specificity: 0.7115\n",
      "When threshold = 0.16 - Sensitivity: 0.9583, Specificity: 0.7179\n",
      "When threshold = 0.17 - Sensitivity: 0.9583, Specificity: 0.7308\n",
      "When threshold = 0.18 - Sensitivity: 0.9583, Specificity: 0.7500\n",
      "When threshold = 0.19 - Sensitivity: 0.9583, Specificity: 0.7564\n",
      "When threshold = 0.20 - Sensitivity: 0.9514, Specificity: 0.7628\n",
      "When threshold = 0.21 - Sensitivity: 0.9444, Specificity: 0.7692\n",
      "When threshold = 0.22 - Sensitivity: 0.9306, Specificity: 0.7692\n",
      "When threshold = 0.23 - Sensitivity: 0.9306, Specificity: 0.7756\n",
      "When threshold = 0.24 - Sensitivity: 0.9306, Specificity: 0.7756\n",
      "When threshold = 0.25 - Sensitivity: 0.9236, Specificity: 0.7821\n",
      "When threshold = 0.26 - Sensitivity: 0.9167, Specificity: 0.7949\n",
      "When threshold = 0.27 - Sensitivity: 0.9097, Specificity: 0.7949\n",
      "When threshold = 0.28 - Sensitivity: 0.9097, Specificity: 0.8013\n",
      "When threshold = 0.29 - Sensitivity: 0.9028, Specificity: 0.8077\n",
      "When threshold = 0.30 - Sensitivity: 0.9028, Specificity: 0.8077\n",
      "When threshold = 0.31 - Sensitivity: 0.8958, Specificity: 0.8141\n",
      "When threshold = 0.32 - Sensitivity: 0.8958, Specificity: 0.8141\n",
      "When threshold = 0.33 - Sensitivity: 0.8819, Specificity: 0.8205\n",
      "When threshold = 0.34 - Sensitivity: 0.8819, Specificity: 0.8205\n",
      "When threshold = 0.35 - Sensitivity: 0.8819, Specificity: 0.8269\n",
      "When threshold = 0.36 - Sensitivity: 0.8750, Specificity: 0.8397\n",
      "When threshold = 0.37 - Sensitivity: 0.8681, Specificity: 0.8462\n",
      "When threshold = 0.38 - Sensitivity: 0.8681, Specificity: 0.8526\n",
      "When threshold = 0.39 - Sensitivity: 0.8611, Specificity: 0.8590\n",
      "When threshold = 0.40 - Sensitivity: 0.8542, Specificity: 0.8654\n",
      "When threshold = 0.41 - Sensitivity: 0.8472, Specificity: 0.8654\n",
      "When threshold = 0.42 - Sensitivity: 0.8472, Specificity: 0.8718\n",
      "When threshold = 0.43 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.44 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.45 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.46 - Sensitivity: 0.8472, Specificity: 0.8782\n",
      "When threshold = 0.47 - Sensitivity: 0.8403, Specificity: 0.8782\n",
      "When threshold = 0.48 - Sensitivity: 0.8403, Specificity: 0.8782\n",
      "When threshold = 0.49 - Sensitivity: 0.8333, Specificity: 0.8782\n",
      "When threshold = 0.51 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.52 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.53 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.54 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.55 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.56 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.57 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.58 - Sensitivity: 0.8194, Specificity: 0.8782\n",
      "When threshold = 0.59 - Sensitivity: 0.8056, Specificity: 0.8846\n",
      "When threshold = 0.60 - Sensitivity: 0.8056, Specificity: 0.8910\n",
      "When threshold = 0.61 - Sensitivity: 0.7986, Specificity: 0.8910\n",
      "When threshold = 0.62 - Sensitivity: 0.7986, Specificity: 0.8910\n",
      "When threshold = 0.63 - Sensitivity: 0.7986, Specificity: 0.8910\n",
      "When threshold = 0.64 - Sensitivity: 0.7917, Specificity: 0.8974\n",
      "When threshold = 0.65 - Sensitivity: 0.7917, Specificity: 0.8974\n",
      "When threshold = 0.66 - Sensitivity: 0.7917, Specificity: 0.9038\n",
      "When threshold = 0.67 - Sensitivity: 0.7847, Specificity: 0.9038\n",
      "When threshold = 0.68 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.69 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.70 - Sensitivity: 0.7569, Specificity: 0.9038\n",
      "When threshold = 0.71 - Sensitivity: 0.7569, Specificity: 0.9103\n",
      "When threshold = 0.72 - Sensitivity: 0.7569, Specificity: 0.9103\n",
      "When threshold = 0.73 - Sensitivity: 0.7500, Specificity: 0.9103\n",
      "When threshold = 0.74 - Sensitivity: 0.7500, Specificity: 0.9103\n",
      "When threshold = 0.75 - Sensitivity: 0.7361, Specificity: 0.9167\n",
      "When threshold = 0.76 - Sensitivity: 0.7153, Specificity: 0.9167\n",
      "When threshold = 0.77 - Sensitivity: 0.7083, Specificity: 0.9359\n",
      "When threshold = 0.78 - Sensitivity: 0.7083, Specificity: 0.9359\n",
      "When threshold = 0.79 - Sensitivity: 0.7014, Specificity: 0.9423\n",
      "When threshold = 0.80 - Sensitivity: 0.6944, Specificity: 0.9423\n",
      "When threshold = 0.81 - Sensitivity: 0.6875, Specificity: 0.9423\n",
      "When threshold = 0.82 - Sensitivity: 0.6806, Specificity: 0.9487\n",
      "When threshold = 0.83 - Sensitivity: 0.6806, Specificity: 0.9615\n",
      "When threshold = 0.84 - Sensitivity: 0.6528, Specificity: 0.9615\n",
      "When threshold = 0.85 - Sensitivity: 0.6319, Specificity: 0.9679\n",
      "When threshold = 0.86 - Sensitivity: 0.6181, Specificity: 0.9744\n",
      "When threshold = 0.87 - Sensitivity: 0.6042, Specificity: 0.9744\n",
      "When threshold = 0.88 - Sensitivity: 0.5764, Specificity: 0.9744\n",
      "When threshold = 0.89 - Sensitivity: 0.5556, Specificity: 0.9808\n",
      "When threshold = 0.90 - Sensitivity: 0.5000, Specificity: 0.9936\n",
      "When threshold = 0.91 - Sensitivity: 0.4583, Specificity: 1.0000\n",
      "When threshold = 0.92 - Sensitivity: 0.3750, Specificity: 1.0000\n",
      "When threshold = 0.93 - Sensitivity: 0.3056, Specificity: 1.0000\n",
      "When threshold = 0.94 - Sensitivity: 0.2431, Specificity: 1.0000\n",
      "When threshold = 0.95 - Sensitivity: 0.1806, Specificity: 1.0000\n",
      "When threshold = 0.96 - Sensitivity: 0.1042, Specificity: 1.0000\n",
      "When threshold = 0.97 - Sensitivity: 0.0347, Specificity: 1.0000\n",
      "When threshold = 0.98 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 0.99 - Sensitivity: 0.0000, Specificity: 1.0000\n",
      "When threshold = 1.00 - Sensitivity: 0.0000, Specificity: 1.0000\n"
     ]
    }
   ],
   "source": [
    "def confusion_matrix(y_pred, y):\n",
    "    '''\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    '''\n",
    "    # Get the number of classes\n",
    "    n_classes = len(np.unique(y))\n",
    "    \n",
    "    # Initialize the confusion matrix with zeros\n",
    "    cm = np.zeros((n_classes, n_classes))\n",
    "    \n",
    "    # Fill the confusion matrix\n",
    "    for pred, actual in zip(y_pred, y):\n",
    "        cm[pred][actual] += 1\n",
    "    \n",
    "    return cm\n",
    "\n",
    "def get_prediction_from_proba(y_proba, threshold=0.5):\n",
    "    '''\n",
    "    y_proba - predict probabilities\n",
    "    threshold - threshold of probability\n",
    "    \n",
    "    y_pred - predict classes, y_proba > threshold is positive, otherwise negative\n",
    "    '''\n",
    "    y_pred = np.where(y_proba > threshold, 1, 0)\n",
    "    return y_pred\n",
    "\n",
    "def get_sensitivity_specificity(y_proba, y, threshold=0.5):\n",
    "    '''\n",
    "    Compute sensitivity and specificity of binary classification\n",
    "    y_pred - predict classes\n",
    "    y - actual classes\n",
    "    threshold - threshold of probability\n",
    "    '''\n",
    "    epsilon = 1e-10\n",
    "    \n",
    "    # Get the confusion matrix\n",
    "    y_pred = get_prediction_from_proba(y_proba, threshold)\n",
    "    cm = confusion_matrix(y_pred, y)\n",
    "    \n",
    "    # Compute sensitivity and specificity\n",
    "    sensitivity = cm[1, 1] / (cm[1, 1] + cm[0, 1] + epsilon)\n",
    "    specificity = cm[0, 0] / (cm[0, 0] + cm[1, 0] + epsilon)\n",
    "    \n",
    "    return sensitivity, specificity\n",
    "\n",
    "# Get predictions from probabilities\n",
    "sen_spec_svm = []\n",
    "for threshold in np.linspace(0, 1, 100):\n",
    "    sensitivity, specificity = get_sensitivity_specificity(y_proba_svm, y_test, threshold)\n",
    "    print(f\"When threshold = {threshold:0.2f} - Sensitivity: {sensitivity:.4f}, Specificity: {specificity:.4f}\")\n",
    "    sen_spec_svm.append([sensitivity, specificity])\n",
    "\n",
    "# Convert to numpy array\n",
    "sen_spec_svm = np.array(sen_spec_svm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4ac2bc7b-276e-4036-80e2-ac9bdc56eb6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Wni30ypirAlsYLilM2wAAAJeEynYovLVnC9f7yizbdEjf5OTVVIm4BLBJig/YJAUAgNrn/B0Ky99/sd+m1z79rsL5d1+bpJaNo5nGcYnyd15j2gYAALikJFqj3JaxK38fHWGpNDy/++WPa0MzjQPVYdoGAACoE7q3jNetPVtc8BymcaA6jDwDAIA645UxV+nuPldoY1aeDuYVa/6GrArnbMzKY/oGqsTIMwAAqFO6t4zXvf1ba2SPyyo9fnUywRlVIzwDAIA6qbJpHHH1w9XpMmuQKkIoYLUNH7DaBgAAoe+bnDx9vsemNz7fpxMlDt3TJ1mXNarvWn0j116sTFuRWiXEuD2IiNDAahsAAAB+1L1lvLq3jFezuPp6etlWzf8iy3WsZ1JDbcnJl9OULIaUOqqrxqYkBa9YBB3TNgAAACS1bRpToW1Tdr5rx0KnKU1J265ce3ENV4bahPAMAAAgaWN29UvUOUxTf91wQKdOO1xtufZibdhnI1TXEUzbAAAAkNQ7uZFH5/1l7T4t/O8Bjep5uRrF1NOrq/cyraMOYeQZAABAla++0TOpocIMQ9KZcDysczNdHh+lglNlWrAhS3M+2cu0jjqGkWcAAICzzt1E5erkeNdqG1m2k0pOiFaiNUpOp6nP9x7X3DXfaeMB96keDtNUlu0kq3JcwgjPAAAA5yhffaNcojXKLQxbLIYGtW+q9s1j1Xf2GtfIsyQZksIMacM+m2tpO5a6u7SwzrMPWOcZAIC6bXFGtqakbZOjkjRlSOqR1FCbs/NlijnRweLvvEZ49gHhGQAAlE/r2H+8UL/5YMcFzw0zDK17djAj0DWITVIAAABqkfJpHaaqH490mKa+zspTowZM4whVhGcAAAA/aJUQI4shtznQlfnl3zdLYhpHqGKpOgAAAD9ItEYpdVRX19J2YYahW3u2cL0/H0vbhSZGngEAAPxkbEqSBrRr4ra03VPD2ivLdlLfF5Xolws3u53PNI7QQ3gGAADwo/OXtit/n2svrnRaxyN/38xqHCGEaRsAAAA14PxpHeXKszTTOEIDI88AAAA15NxpHccLT+lXi7a4HXeYppZvzdWN3RKVaI3SPzZma8X2I/ppl+YafTUj0rUB6zz7gHWeAQDAxcq1F6tP6ppKj1kMqWF0Pf1QdNrVltQoSp8/PaSmyrtk+DuvMW0DAACglnGacgvOkpT9Q7H+sTE7SBWhHOEZAAAgCDJtRV5fs2rH0QBUAm8QngEAAIKgfFMVb9zQuVlgioHHCM8AAABBcP7qG4ak8oU4qsrU7ZrF1khtqBqrbQAAAATJ+ZuqSFKW7aS+2G/Ta59+V+H8jVl56t4yvqbLxDkIzwAAAEFU2aYq0RGWSsPz1ckE52Bj2gYAAEAt071lvHomNXRr65nUkFHnWoDwDAAAUMvk2ou1JSffre2bHDu7D9YChGcAAIBaJtNWJOd529g5TFNZtpPBKQguhGcAAIBaprJl7MIMw/VQIYKH8AwAAFDLlC9jV84wpFmjurg9WIjgIDwDAADUQmNTktQsLkKS1KlZA41NSQpyRZAIzwAAALVSm8nLdbSgVJK048gJtZm8PMgVQSI8AwAA1DpPL9kiR4UHBs+0I7gIzwAAALXMp7uPVdq+pop21BzCMwAAQC0ztH3TStuHVNGOmhNS4TkjI0PDhw9XfHy8YmJi1Lt3by1cuNCre+Tn5+u5555Tt27dFBsbq4SEBKWkpGju3Lk6depUgCoHAADw3MtjrlKYUbF97DU8NBhshmmaZvWnBV96erqGDRumiIgI3X777bJarUpLS1NmZqZefPFFTZkypdp75Ofnq1evXtq/f7/69euna665RiUlJfr444+1b98+DRkyRJ988oksFs/+TlFQUCCr1Sq73a64uDhfPyIAAICbp5ds0ZrdxxQTGaYDP5xSmyYxmn5zZ13ZtIESrVHKtRcr01akVgkxLGNXBX/ntZAIz2VlZerQoYMOHjyoL774Qj169JAkFRYWqk+fPtq9e7d27typtm3bXvA+L7/8sp555hk9/vjjmjNnjqu9tLRU/fr1U0ZGhtauXasBAwZ4VBfhGQAA1IQfikrV76U1OlnqkCRZDOlnPVron5sPyWmeeZ86qivL2VXC33ktJKZtrFmzRvv27dO4ceNcwVmSYmNjNXXqVJWVlWn+/PnV3mf//v2SpOHDh7u1R0RE6Prrr5ckHTvGRHwAAFC7lJQ5VHw2OEuS05SWbTrk2sLbaUpT0rYr114cpArrjpAIz+np6ZKkG264ocKx8ra1a9dWe5/OnTtLklasWOHWfvr0aa1evVpRUVHq06ePj9UCAAD4V6atSNVNFXCYprJsJ2uknrosPNgFeGLv3r2SVOm0jPj4eCUkJLjOuZCJEyfqvffe0yuvvKKNGzcqJSVFJSUlWrFihfLy8rRw4UK1aNHC7/UDAAD4olVCjCyGXCPNVUlOiK6ZguqwkAjPdrtdkmS1Wis9HhcXp4MHD1Z7n6ioKKWnp+v+++/X+++/7xqttlgs+uUvf6l+/fpd8PqSkhKVlJS43hcUFHj6EQAAAC5aojVKqaO6akradjku8LjazsN2HhwMsJCYtuEvNptN119/vb788kstX75c+fn5OnLkiP7yl79o/vz5uuaaa5SXl1fl9ampqbJara5Xy5Yta7B6AABQl41NSdK6Zwfr75Ou1c96XFbpOem7j9dwVXVPSITn8hHn8hHo85U/RVmdJ554Qhs2bNCyZcs0fPhwWa1WNWvWTJMmTdLLL7+s/fv369VXX63y+smTJ8tut7teOTk5F/V5AAAALkaiNUp92jTWTd0SKz1eXOLQvP/s0zc5ZwYDc+3F2rDPxoOEfhQS0zbK5zrv3btXvXr1cjuWl5cnm82m6667rtr7LF++XI0aNVK3bt0qHBsyZIgk6euvv67y+sjISEVGRnpTOgAAgN8N7dhcPZMaalN2vlv70s2HpM1nfm7RMEqH84tliqXs/CkkRp4HDhwoSVq1alWFY+Vt5edcSGlpqQoKClRaWlrh2PHjZ/6Zg3AMAABCQdpDffX2+F6669okTf5puwrHD50NzhJL2flTSITnoUOHqnXr1lq4cKG2bNniai8sLNTMmTMVHh6uCRMmuNptNpt27dolm83mdp++ffuqrKxMM2fOdGsvKSlxtQ0ePDhgnwMAAMCfhnZsrpkju8oSVn2kYyk7/wiJ8BweHq633npLTqdT/fv313333aennnpK3bt3144dOzR9+nS1a/fj37jmzp2rjh07au7cuW73mT17tmJjY/XCCy/ommuu0RNPPKGHHnpInTp10sqVK9WrVy9NnDixpj8eAACAT3onN6r2HEMsZecPIRGepTMjwuvWrVO/fv20ZMkSvf7662rcuLHef/99/eY3v/HoHldddZW+/vpr3XPPPTpy5Ijmzp2rBQsWKCYmRjNmzNDnn3+u+vXrB/iTAAAA+Ff3lvG6tWc1e1UYNVPLpc4wzQssFogL8vde6QAAAL74JidPG7PyFBFu0dQPd1Q4/vdJ16pPm8ZBqCx4/J3XQmbkGQAAABfWvWW87u3fWj/p1EyW80aawwyDaRt+QHgGAAC4xJTvSFjOYkizRnVh90E/IDwDAABcgsamJCmu/pktPf428VrWePYTwjMAAMAlynJ27kaTWPax8BfCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAMAlqrTMIUn6Yp9N0plNVOb9Z5++yckLZlkhjR0GfcAOgwAAoLYa9fp6bcrOd71vFFNPPxSddr2/tWcLvTLmqpovrIaxwyAAAAAu6NNvj7gFZ0luwVmSlm06xAj0RSA8AwAAXGLW7Drm0XkbswjP3iI8AwAAXGKGdGjq0XlXJ8cHuJJLD+EZAADgEjO0Y3P1TGro1hYRZri9T2oUpe4tCc/eCg92AQAAAPC/tIf66tNvjyh993ElNYrWi//e5XY8+4difZOTR4D2EiPPAAAAl6ihHZtr5siuklH5ceY8e4/wDAAAcInrndyo0nbmPHuP8AwAAHCJ694yXrf2bOHWFm4x1NwaFaSKQhfhGQAAoA54ZcxV+vDh6/Sb4R11ZZMYlTlNTUnbpg37bMq1Fwe7vJDBDoM+YIdBAAAQirYfsmvEH9epPARaDCl1VFeNTUkKal2BwA6DAAAA8EnjBhFu752mNCVtOyPQHiA8AwAA1DGZtiKdP/XAYZrKsp0MSj2hhPAMAABQx7RKiJHlvOXrwgxDyQnRwSkohBCeAQAA6phEa5SeG9HJ9d5iSLNGdVEiq29Ui/AMAABQB43qebnr58+eGnRJPiwYCIRnAACAOq65tX6wSwgZhGcAAADAQ4RnAAAAwEOEZwAAgDruiP1UsEsIGYRnAACAOiht00HXz4N/l67FGdlBrCZ0hAe7AAAAANSsXHuxnv/XTtd7pyk9s2ybNuz7Xjd0aq6+VzZWw+iIC9yh7iI8AwAA1DGZtiI5z99iUNKHWw7rwy2HZRhS1xZW9bsyQf3aJqjXFfGKDA/TNzl5+irrB/VObqTuLeNrvvBagPAMAABQx5TvMHhugLYY0m29Ltfm7HztPXZCWw/atfWgXa+n71NUvTDFRYXraEGJ6/xbe7bQK2Ouqvnig4zwDAAAUMckWqOUOqqrpqRtl8M0FWYYmjWqi2ujlKMFp7Rur03rvjvzOl5YouLTDrd7LNt0SHf3uaLOjUAbpmlWMmgPTxQUFMhqtcputysuLi7Y5QAAAHgl116sLNtJJSdEV7k1t2maSv33t3rzP5kVjj065Epd06axWiXE1Nqtvf2d1wjPPiA8AwCAuuCbnDzd8qcNVR63GFLqqK61cotvf+c1lqoDAADABXVvGa9be7ao8rjTlKakbVeuvbgGqwoO5jwDAACgWq+MuUp397lCG7PyFBFu0dQPd7gdd5imsmwna+30DX9h5BkAAAAe6d4yXvf2b62fdGpW4ZghKTkhuuaLqmGEZwAAAPjOCHYBNYPwDAAAAK9k2ooqtJmmlGU7GYRqahbhGQAAAF5plRBToY1pGwAAAICnmLYBAAAAVFTVtI2vs/K0YZ+tyiXrcu3FFzweCliqDgAAAF5plRAji3FmfedzPbJos0yz8k1TFmdka3LaNjmrOB4q2GHQB+wwCAAA6qrFGdmakrZdjiqipCHpp12aKzoiXCdLy/Tx9iNux8MMQ+ueHRzwdaH9ndcYeQYAAIDXxqYkaUC7JsqyndR3xworbJpiShUC87lCdVMVwjMAAAAuSqI1SonWKCUnRGvaRzvcpnEYkh4c1EZxUfVUUHxar6fvc7s2zDBCcnUOwjMAAAB8kmiNUuqorq5pHGGGoVmjurjNad51pFBrdh2TJNfxUBt1lgjPAAAA8INzp3EkJ0RXCMadL4vTml3HNKxzM02/uXNIBmeJ8AwAAAA/KZ/G4es5tRnrPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAoMbk2ouVay8OdhkXjfAMAACAgNtxuECStHLHUfWdvUaLM7KDXNHFITwDAAAgoHLtxfrs7O6CkuQ0pSlp20NyBJrwDAAAgIDKtBXJPK/NYZrKsp0MSj2+IDwDAAAgoFolxMhiuLeFGYaSE6KDU5APCM8AAAAIqERrlFJHdVV5fjYkzRrVJSS36SY8AwAAIODGpiTprfFXS5LCLYau79Q8yBVdHMIzAAAAasTQjs3U7XKrTjtNLdmYE+xyLgrhGQAAADXm59dcIUn6238PyOk8/zHC2s/n8Pz888/r0KFD/qgFAAAAl7gR3S9TXP1w5fxQrLV7jwe7HK/5HJ6nT5+uVq1aaeTIkfr3v/8t0wy9v0EAAACgZkRFhGn01S0lSa+t3htyaz37HJ6TkpJUVlamjz76SCNGjFBycrJmzpzJaDQAAAAqFR9dT5K0OSc/5HYb9Dk8Z2Zm6uOPP9bPfvYzhYeHKycnx200+uOPP2Y0GgAAAJLO7DY455M9rvehttugz+HZMAwNGzZMy5YtU05OjmbNmqU2bdq4RqNvuukmRqMBAAAg6cxug+c/JxhKuw36dbWNpk2b6tlnn9WePXu0evVqjRkzRvXq1WM0GgAAAJIq321QklrE16/5Yi5CwJaqGzJkiBYtWqRDhw7plVdeUbt27VRWVqZ//etfrtHoWbNm6fvvvw9UCQAAAKhlyncbDDPcE/TK7UeDVJF3Ar7Os91u17Fjx5SXlyfDMGSapkzTVE5OjqZOnapWrVrp1VdfDXQZAAAAqCXGpiRp3bOD9fdJ12rK/3SQJL2yarc++uZwrZ/7bJgBmD9RVlamtLQ0vfnmm0pPT3cF5sTERN17770aPXq0Vq1apb/85S/at2+fDMPQn/70Jz3wwAP+LiWgCgoKZLVaZbfbFRcXF+xyAAAAQo5pmhryu7XK/L5IkmQxpNRRXTU2Jckv9/d3XvNreN6zZ4/mzZund999VzabTaZpyjAMDRkyRA888IBGjhypsLAw1/lOp1PPPfecZs2apY4dO2rHjh3+KqVGEJ4BAAB8k2svVt/Za9weIgwzDK17drASrVE+39/feS3c1xuUlpZq6dKlmjdvnj7//HNJZ/4G0ahRI02YMEEPPPCArrzyykqvtVgsmjlzpv74xz9q3759vpYCAACAEHOh1Tf8EZ79zefw3KJFC/3www+u1TP69OmjBx54QGPGjFFkZGS11xuGofj4eOXk5PhaCgAAAEJM+eob5488JydEB6+oC/D5gcHvv/9eDRo00AMPPKBvvvlG69ev11133eVRcC73yiuv6J133qn2vIyMDA0fPlzx8fGKiYlR7969tXDhQq9rLiws1LRp09SlSxdFR0erYcOG6tmzp2bMmOH1vQAAAHDxylffKF97wzCkWaO61MpRZ8kPc57feOMN/fznP1dMTIy/aqpUenq6hg0bpoiICN1+++2yWq1KS0tTZmamXnzxRU2ZMsWj+2RnZ2vIkCHav3+/fvKTn6hHjx4qKSnRd999p+zsbG3dutXjmpjzDAAA4B/j3/6v1u616Z7rkjXt5s5+u2+tfmAwUMrKytShQwcdPHhQX3zxhXr06CHpzAhynz59tHv3bu3cuVNt27a94H0cDof69Omj7du3a/ny5Ro8eHCFfsLDPZ/JQngGAADw3eKMbD2zbJskyZA0+9bau9qGz9M2LBaLWrRo4fH5rVq18iqgStKaNWu0b98+jRs3zhWcJSk2NlZTp05VWVmZ5s+fX+19li5dqoyMDD311FMVgrMkr+sCAACAb3LtxZqcts313pQ0JW17rV3v2S9p0dvBa2/PT09PlyTdcMMNFY6Vt61du7ba+yxevFiSNHr0aOXk5Gj58uXKz89XmzZt9D//8z9q0KCBV3UBAADAN3VutQ1vlZaWymLxbsB77969klTptIz4+HglJCS4zrmQjRs3SpLWrVunxx9/XCUlJa5jTZo00ZIlSzRo0KAqry8pKXG7pqCgwNOPAAAAgErUudU2vJGfn69jx46pYcOGXl1nt9slSVartdLjcXFxrnMu5NixY5KkRx55RI899phycnJ0/Phxvfbaa7Lb7Ro5cqRyc3OrvD41NVVWq9X1atmypVefAwAAAO5CbbUNr0eet27dqi1btri1FRcX6913363yGtM0lZ+fr6VLl8rpdKpnz55eF+oPTqdTknTTTTdp9uzZrvZHHnlEhw4d0ksvvaS3335bv/3tbyu9fvLkyXriiSdc7wsKCgjQAAAAPhqbkqQ13x7Typ1H9cjgK/32sGAgeB2e//nPf+r55593aysoKNA999xT7bXl23WfG0A9UT7iXNXocvlTlJ7cx2az6eabb65wbMSIEXrppZdcUzsqExkZ6dX61QAAAPBMVESYJCkuql6QK7kwr8Nzw4YNlZT0498GDhw4IIvFossvv7zKaywWi+Li4tSlSxfdd9996t+/v1d9ls913rt3r3r16uV2LC8vTzabTdddd12192nfvr1sNlul00bK24qLa+eTnQAAAAg+r8Pzo48+qkcffdT13mKxqEmTJsrMzPRrYecaOHCgUlNTtWrVKt1+++1ux1atWuU6pzpDhgzR+vXrtXPnTo0aNcrt2M6dOyVJycnJ/ikaAAAAlxyfHxicNm2annzySX/UUqWhQ4eqdevWWrhwodt868LCQs2cOVPh4eGaMGGCq91ms2nXrl2y2Wxu97nnnnsUGRmpP/7xjzp06JDbfWbNmiVJGjNmTEA/CwAAAEJXSITn8PBwvfXWW3I6nerfv7/uu+8+PfXUU+revbt27Nih6dOnq127dq7z586dq44dO2ru3Llu92nVqpX+93//V8eOHVP37t01adIk/fKXv1S3bt20ZcsW3XfffRo6dGhAPwsAAABCV8hsqTd48GCtW7dO06ZN05IlS1RaWqrOnTtr5syZuvPOOz2+zyOPPKLk5GT97//+rxYtWqSysjJ17txZU6ZM0aRJkwL4CQAAABDqDNOL7f7KV9lISEjQQw895Nbmreeee+6irqtN/L1XOgAAQF11/7sbtXLnUf1qyJV64ob2fruvv/OaV+HZYrHIMAy1b9/e9YBdeZu3HA6H19fUNoRnAAAA3y3OyNYzy7ZJkgxJs2/t6re1nv2d17yatjFgwAAZhuG2VF15GwAAAOCtXHuxJqdtc703JU1J264B7ZrUyl0GvQrP6enpHrUBAAAAnsi0Fcl53jwIh2kqy3ayVoZnn1fbAAAAAC5Wq4QYWc6bxGAxpOSE6OAUVA2fw/OpU6f8UQcAAADqoERrlFJHdVXYOdOA+7etnVM2JD+E5+bNm2vixIlau3atP+oBAABAHTM2JUnrnh2sJ64/s2/HtkN2lZTVzsUlfA7PBQUFmj9/voYMGaLk5GRNnTpVe/bs8UdtAAAAqCMSrVF6aFAbJVrr64eiUn287UiwS6qUz+F53rx5GjhwoCQpOztbs2bNUseOHXXttdfqz3/+s3744QefiwQAAMClLzzMojt6n1nV7b0vDwS5msp5tc7zheTk5Oj999/X+++/r2+//fbMzQ1D9erV0/Dhw3XXXXfppptuUr169fzRXa3AOs8AAAD+dazglK6bvUZlTlP//lV/dbrMt4zl77zmt9U2WrZsqcmTJ2vHjh3auHGjfvWrX6lJkyYqLS3VBx98oNtuu02JiYl6+OGH9eWXX/qrWwAAAFxCmsbV17AuzSVJr6zarVx7cZArcue3kefKOBwOrVq1Su+++64++ugjFRef+fAWi0VlZWWB6rbGMPIMAADgf7OWf6s3/7Nf0pll61JHXfyOg7V25LkyYWFh+p//+R/9/e9/1zfffKOrr75akhTAvA4AAIAQlmsv1lvr9rveO80zOw7WlhHogIbnkpISLVmyRCNGjFDnzp319ddfB7I7AAAAhLgL7ThYG3i1PbenPv/8c7333ntaunSpCgoKXCPNzZs317hx43T33XcHolsAAACEuPIdB88N0LVpx0G/hec9e/bo3Xff1d/+9jdlZ2dLOjM9IyoqSiNHjtTdd9+t66+/XhYLO4IDAACgcuU7Dk5J2ybH2QB95zVJtWbHQZ/D89y5c/Xee+9p48aNks4EZsMwNHDgQN11110aPXq0GjRo4HOhAAAAqBvGpiRpQLsmmvmvnfr39iMqKqk9uw36HJ5/9atfuX5u37697rrrLt11111q2bKlr7cGAABAHZVojdL465L17+1HtGb3MZU5nAoPC/4MBp/Dc+PGjXX77bfr7rvvVkpKij9qAgAAANTrinjFR9dT3snTysjKU582jYNdku/hOTc3V+HhAXnuEAAAAHVYeJhFQzs209KvD2rVziO1Ijz7PPZNcAYAAECgXN+pmSTpk51Ha8VeIcGfOAIAAABUoX/bBEWGW3Qwr1i7jhQGuxzvpm0MGTJEknTFFVdo/vz5bm3eMAxDn376qdfXAQAAoG6JjghX/7ZNtPrbo/pk51F1TPR9i21feBWe09PTJUkdOnSo0OYNwzC8vgYAAAB10w2dmmn1t0e1aucR/Wpo26DW4lV4njZtmiQpISGhQhsAAAAQCEM6NpVhSNsPFehwfrEuaxi8DVMMszbMvA5RBQUFslqtstvtiosL7j8hAAAAXMpu+/MGbTyQp+dv6ay7+yR7fJ2/8xoPDAIAAKDWu6HzmVU3Vu04GtQ6fA7Pzz//vObMmePx+a+99pqef/55X7sFAABAHXJ9p+aSpC/3fy978emg1eHztA2LxaLmzZvr8OHDHp3fqlUrZWdny+GoPXuUXyymbQAAANScn8xZq++OndAfbr9Kt1zVwqNrmLYBAACAOumGczZMCZYaD88//PCD6tevX9PdAgAAIMSV7zaYvvu4SsqCM4uhRsPzP/7xDxUWFiopKakmuwUAAMAloPvlDdU0NlInSsr05f4fglKDV+s8S9If/vAH/eEPf3BrO378uFq3bl3lNaZpKj8/XwUFBTIMQzfeeKP3lQIAAKBOs1gM/aRTMy38b7Y+2XlEA9s1qfEavA7P+fn5ysrKcmtzOBwV2qoydOhQPffcc952CwAAAOh6V3g+qudv7iKLpWZ3rvY6PI8cOVLJycmSzowo/+IXv5DVatWrr75a5TUWi0VxcXHq0qWL2rRpc7G1AgAAoI67rk1jxUSE6WhBibYdsqt7y4Y12n+NL1V3KWGpOgAAgJr38N82afm2XI286jI98z8dlGitervuWrdUndPprJPBGQAAAMERW//M5IkPthxW39lrtDgju8b6Zp1nAAAAhIxce7GWbMxxvXea0pS07cq1F9dI/4RnAAAAhIxMW5Gc5006dpimsmwna6R/r8JzWFiYwsLC1Llz5wpt3rzCw71+ThEAAABQq4QYnb/ARphhKDkhukb69yo8m6bpelXW5s0LAAAA8FaiNUqpo7rKOCdAzxrV5YIPDfqTV0PAn332mSQpOjq6QhsAAABQE8amJKlVQozGvPGl6oUZ+lmPy2usb6/C88CBAz1qAwAAAAIpJbmR4uqHq+BUmfYcLVSXFtYa6ZcHBgEAABByDMNQt8sbSpK+OZhfY/3WSHjOy8tTQUFBTXQFAACAOqLb5WdGm7cdtNdYnz6H58OHD+vdd9/VihUrKhzbsWOHrr76aiUkJCg+Pl79+/fXnj17fO0SAAAAOGfkOYTC8zvvvKN77rlH6enpbu3FxcUaPny4Nm/e7FphY/369frJT37CKDQAAAB81r3lmZHnPUcLVVzqqJE+fQ7Pq1evliSNHTvWrf2vf/2rcnJy1KhRI82bN0/vv/++Lr/8ch06dEh/+tOffO0WAAAAdVzzuPpqEhsph9PUztyaGX32OTxnZWVJkjp06ODWnpaWJsMwNGvWLN17770aN26c5s2bJ9M09dFHH/naLQAAAOo4wzDU/ey8529yQiQ822w2xcXFKSrqx4WpnU6nNmzYIMMwdNttt7nar7/+elksFu3evdvXbgEAAAB1bdFQkrS1hlbc8Dk8OxwOlZSUuLVt27ZNJ0+eVOfOnRUfH/9jZxaL4uPjVVRU5Gu3AAAAgLqdnfe8tYYeGvQ5PCcmJqqkpESZmZmutpUrV0qSrrvuugrnnzhxQo0aNfK1WwAAAEDdz664sd9WJHvx6YD353N47tOnjyRpxowZcjqdOn78uP785z/LMAwNGzbM7dzMzEyVlJQoMTHR124BAAAANYqJ0OXxZ6YP7zgU+NFnn8Pzo48+Kkl677331LBhQ7Vs2VIHDhxQq1atdNNNN7md+8knn0iSevbs6Wu3AAAAgKQfR59rYr1nn8Nz79699c4776hBgwY6ceKESktL1aFDB6WlpSk8PNzt3HfffVeSNHjwYF+7BQAAACT9uNPgZ7uOKtdeHNC+DNM0TX/cqLi4WNu3b1fDhg3Vpk0bWSzuuby0tFSLFi2SaZq65ZZb1LBhQ390G1QFBQWyWq2y2+2Ki4sLdjkAAAB10qzl3+rN/+yXJFkMKXVUV41NSZLk/7zmt/BcFxGeAQAAgivXXqy+s9fIeU6iDTMMrXt2sBKtUX7Paz5P2wAAAACCJdNW5BacJclhmsqynQxIf+HVn+KdU6dOKS8vT6dPX3ipkKSkJH93DQAAgDqmVUKMLIYqjDwnJ0QHpD+/hOeTJ0/q5Zdf1t///nd999131Z5vGIbKysr80TUAAADqsERrlFJHddUzy7ZJOjPnedaoLkq0RlVz5cXxOTzn5+drwIAB2rFjhzydPs00awAAAPjL2JQkvbRit34oKtWCe3prQLsmAevL5/A8c+ZMbd++XfXq1dMjjzyiW265RZdddlmFZeoAAACAQAmzGJKkJrGRAe3H54T7wQcfyDAMvfrqq3rwwQf9URMAAABQK/m82sahQ4dksVh0zz33+KMeAAAAoNbyeeS5UaNGOnXqlOrXr++PegAAAIBay+eR5379+slut+vQoUP+qAcAAACotXwOz88884zCw8M1c+ZMf9QDAAAA1Fo+h+devXppwYIF+utf/6p7771X+/fv90ddAAAAQK3j85zn1q1bS5LCwsK0YMECLViwQI0aNVJsbGyV1xiGoX379vnaNQAAAFCjfA7PWVlZFdq+//57ff/991VeYxiGr90CAAAANc7n8Dx//nx/1AEAAADUej6H5/Hjx/ujDgAAAKDW8/mBQQAAAKCuIDwDAAAAHvJbeD548KCeeOIJde7cWQ0aNFB4uPuMkLy8PM2aNUupqalyOp3+6hYAAACoMT7PeZak1atXa/To0SooKJBpmpIqrqgRHx+vDz/8UBs3btS1116rwYMH+6NrAAAAoMb4PPKck5Oj2267TXa7XSNGjNDSpUsVHx9f6bm/+MUvZJqmPvjgA1+7BQAAAGqcz+F5zpw5Kigo0JgxY/TBBx9o1KhRioiIqPTcYcOGSZLWrVt3UX1lZGRo+PDhio+PV0xMjHr37q2FCxdedO2nT5/WVVddJcMw1KFDh4u+DwAAAOoGn6dtrFy5UoZhaObMmdWem5ycrMjISGVmZnrdT3p6uoYNG6aIiAjdfvvtslqtSktL05133qmsrCxNmTLF63vOnDlT3333ndfXAQAAoG7yeeT5wIEDioqKUtu2bT06v0GDBjpx4oRXfZSVlWnixIkyDEOff/655s2bp9/97nf65ptv1LlzZ02bNk179+716p6bNm1SamqqUlNTvboOAAAAdZfP4dlisXi8esbp06dlt9sVGxvrVR9r1qzRvn37NG7cOPXo0cPVHhsbq6lTp6qsrMyrnQ5LS0s1YcIEXXvttfrlL3/pVS0AAACou3wOzy1btlRJSYlycnKqPfezzz5TWVmZrrzySq/6SE9PlyTdcMMNFY6Vt61du9bj+02fPl179+7V22+/XWFVEAAAAKAqPofnoUOHSpLeeOONC55XXFysZ599VoZh6Kc//alXfZRPyahsakh8fLwSEhI8nraRkZGhl19+WTNmzFC7du28qgMAAAB1m8/h+fHHH1d4eLh+97vf6a9//Wul52zYsEEDBgzQli1bFB0drYceesirPux2uyTJarVWejwuLs51zoWUlJRowoQJ6tGjh5588kmvaii/vqCgwO0FAACAusPn8Ny6dWvNnTtXpaWl+sUvfqHLLrtMeXl5kqQbb7xRSUlJ6t+/v77++msZhqE333xTzZo187nwizF16lTt3btX77zzjsLCwry+PjU1VVar1fVq2bJlAKoEAABAbeWX7bknTZqktLQ0JSYm6siRIyotLZVpmvr444918OBBmaapxMREpaWl6Y477vD6/uUjzlWNLhcUFFQ5Kl1u06ZNmjNnjn7zm9+oa9euXtcgSZMnT5bdbne9PJnnDQAAgEuHX7bnlqSRI0fqxhtv1Mcff6x169bp8OHDcjgcat68ufr27asRI0YoMjLyou5dPtd579696tWrl9uxvLw82Ww2XXfddRe8x9atW+VwODR9+nRNnz69wvHdu3fLMAxZrVbl5+dXeo/IyMiL/gwAAAAIfX4Lz5JUr1493Xzzzbr55pv9eVsNHDhQqampWrVqlW6//Xa3Y6tWrXKdcyHt2rXTvffeW+mxt99+W1arVbfddpuio6P9UzQAAAAuOYZpmmYgblxaWqoVK1Zo9+7dioyMVM+ePdWvX7+LuldZWZnat2+vQ4cO6csvv9RVV10lSSosLFSfPn20e/du7dixw7V6hs1mk81mU0JCghISEqq9v2EYat++vXbt2uVVXeXTRex2u+Li4rz+XAAAAPCPlBdX63hhiT5+tL86Jv6Yy/yd17weeS4sLNQ///lPSdLYsWMrncaQkZGh2267TQcPHnRrv+aaa5SWlqbmzZt7V2R4uN566y0NGzZM/fv31x133KG4uDilpaUpMzNTL7zwgtuyc3PnztWMGTM0bdq0SqdoAAAAABfD6wcGP/30U02YMEGvvvpqpcH52LFjuvHGG10PCp77+u9//3vRUzoGDx6sdevWqV+/flqyZIlef/11NW7cWO+//75+85vfXNQ9AQAAAG94PfL8n//8R5I0bty4So+/9NJLstlsMgxD48eP13333acGDRpowYIF+v3vf6+vv/5aS5cu1W233eZ1sb1799bHH39c7XlVPRRYlQDNXAEAAMAlxuuR56+++uqCuwT+7W9/k2EYGjFihObPn68+ffqoa9eueuWVVzR+/HiZpqlly5b5XDgAAABQzuE8Mxh6vLAkoP14HZ5zc3MVHh6uTp06VTi2Y8cOHTt2TJL0q1/9qsLxRx99VJK0efNmb7sFAAAAKrU4I1s/FJVKksbP/0qLM7ID1pfX4fno0aOKi4uTxVLx0q+++kqSFBERUenKGl26dJFhGDp8+PBFlAoAAAC4y7UXa3LaNtd705SmpG1Xrr04IP15HZ4dDocKCgoqPfb1119Lkjp27KiIiIgKx8PDwxUfH6/i4sB8GAAAANQtmbYiOc97fM1hmsqynQxIf16H56ZNm6qsrEz79u2rcOyLL76QYRhKSUmp8voTJ04oJibG224BAACAClolxMhiuLeFGYaSEwKz8Z3X4blnz56SpDfffNOtfe/evdqyZYukqnf7O3DggEpLS3X55Zd72y0AAABQQaI1SqmjurreWwxp1qguSrRGBaQ/r8PzHXfcIdM09fvf/17/+7//q927d+vTTz/V6NGjZZqmYmJiNGLEiEqv/fzzzyWdmfsMAAAA+MPYlCQ1ijkzZXjBPb01NiUpYH15HZ5Hjx6tAQMGqKysTM8++6w6deqkG264Qdu2bZNhGHriiScUGxtb6bWLFy+WYRgXvU03AAAAUJmws3M3msRW3MTPn7wOz5L04Ycf6qabbnLbPVCSJk6cqOeee67Sa/bu3asVK1ZIkoYPH36R5QIAAADB4/UOg5JktVr10Ucf6bvvvnPNc05JSdEVV1xR5TX16tXThx9+qHr16ql169YXVSwAAAAQTBcVnstdeeWVuvLKKz06Nzk5WcnJyb50BwAAAATVRU3bAAAAAOoiwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAEKew2lKko4XlgS0H8IzAAAAQtrijGz9UFQqSRo//ystzsgOWF+EZwAAAISsXHuxJqdtc703TWlK2nbl2osD0h/hGQAAACEr01akszM2XBymqSzbyYD0R3gGAABAyGqVECOL4d4WZhhKTogOSH+EZwAAAISsRGuUUkd1db23GNKsUV2UaI0KSH+EZwAAAIS0sSlJahQTIUlacE9vjU1JClhfhGcAAACEvLCzczeaxEYGtB/CMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAEKew2lKko4XlgS0H8IzAAAAQtrijGz9UFQqSRo//ystzsgOWF+EZwAAAISsXHuxJqdtc703TWlK2nbl2osD0h/hGQAAACEr01akszM2XBymqSzbyYD0R3gGAABAyGqVECOL4d4WZhhKTogOSH+EZwAAAISsRGuUUkd1db23GNKsUV2UaI0KSH+EZwAAAIS0sSlJahQTIUlacE9vjU1JClhfhGcAAACEvLCzczeaxEYGtB/CMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgIcIzAAAA4CHCMwAAAOAhwjMAAADgoZAKzxkZGRo+fLji4+MVExOj3r17a+HChR5fv27dOj355JPq1auXGjdurPr166tDhw565plnlJ+fH7jCAQAAcEkID3YBnkpPT9ewYcMUERGh22+/XVarVWlpabrzzjuVlZWlKVOmVHuP2267TTabTf369dPdd98twzCUnp6ul19+WcuWLdOGDRvUtGnTGvg0AAAACEUhEZ7Lyso0ceJEGYahzz//XD169JAkTZs2TX369NG0adM0evRotW3b9oL3efzxx3X33XcrMTHR1Waaph5++GH9+c9/1owZM/SnP/0poJ8FAAAAoSskpm2sWbNG+/bt07hx41zBWZJiY2M1depUlZWVaf78+dXe55lnnnELzpJkGIamTp0qSVq7dq1/CwcAAMAlJSTCc3p6uiTphhtuqHCsvM2X4FuvXj1JUnh4SAzEAwAAIEhCIi3u3btXkiqdlhEfH6+EhATXORfjnXfekVR5OD9XSUmJSkpKXO8LCgouuk8AAACEnpAYebbb7ZIkq9Va6fG4uDjXOd7asmWLZsyYoaZNm+rpp5++4LmpqamyWq2uV8uWLS+qTwAAAISmkAjPgZKZmambbrpJDodDixYtUkJCwgXPnzx5sux2u+uVk5NTQ5UCAACgNgiJaRvlI85VjS4XFBRUOSpdlQMHDmjw4ME6fvy4li1bpsGDB1d7TWRkpCIjI73qBwAAAJeOkBh5Lp/rXNm85ry8PNlstmqXqTtXVlaWBg0apMOHD2vJkiW66aab/FYrAAAALl0hEZ4HDhwoSVq1alWFY+Vt5edUpzw4Hzp0SIsXL9Ytt9ziv0IBAABwSQuJ8Dx06FC1bt1aCxcu1JYtW1zthYWFmjlzpsLDwzVhwgRXu81m065du2Sz2dzuc25wXrRokX72s5/V0CcAAADApSAk5jyHh4frrbfe0rBhw9S/f3/dcccdiouLU1pamjIzM/XCCy+oXbt2rvPnzp2rGTNmaNq0aZo+fbqrfdCgQTpw4ICuvfZabd26VVu3bq3Q17nnAwAAIDQ4nKYk6XhhiTomVnOyD0IiPEvS4MGDtW7dOk2bNk1LlixRaWmpOnfurJkzZ+rOO+/06B4HDhyQJH355Zf68ssvKz2H8AwAABBaFmdk64eiUknS+PlfafaorhqbkhSQvgzTNM2A3LkOKF/lw263Ky4uLtjlAAAA1Dm59mL1nb1GznMSbZhhaN2zg5VojfJ7XguJOc8AAABAZTJtRW7BWZIcpqks28mA9Ed4BgAAQMhqlRAji+HeFmYYSk6IDkh/hGcAAACErERrlFJHdXW9txjSrFFdlGiNCkh/hGcAAACEtLEpSWoUEyFJWnBP74A9LCgRngEAAHAJCDs7d6NJbGRA+yE8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAIOQ5nKYk6XhhSUD7ITwDAAAgpC3OyNYPRaWSpPHzv9LijOyA9UV4BgAAQMjKtRdrcto213vTlKakbVeuvTgg/RGeAQAAELIybUU6O2PDxWGayrKdDEh/hGcAAACErFYJMbIY7m1hhqHkhOiA9Ed4BgAAQMhKtEYpdVRX13uLIc0a1UWJ1qiA9Ed4BgAAQEgbm5KkRjERkqQF9/TW2JSkgPVFeAYAAEDICzs7d6NJbGRA+yE8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAIOQ5nKYk6XhhSUD7ITwDAAAgpC3OyNYPRaWSpPHzv9LijOyA9UV4BgAAQMjKtRdrcto213vTlKakbVeuvTgg/RGeAQAAELIybUU6O2PDxWGayrKdDEh/hGcAAACErFYJMbIY7m1hhqHkhOiA9Ed4BgAAQMhKtEYpdVRX13uLIc0a1UWJ1qiA9Ed4BgAAQEgbm5KkRjERkqQF9/TW2JSkgPVFeAYAAEDICzs7d6NJbGRA+yE8AwAAAB4iPAMAAAAeIjwDAAAAHiI8AwAAAB4KqfCckZGh4cOHKz4+XjExMerdu7cWLlzo1T2cTqfmzp2rbt26KSoqSk2aNNGYMWO0d+/eAFUNAACAS0XIhOf09HT169dP//nPf3TbbbfpwQcflM1m05133qlZs2Z5fJ8HHnhAjzzyiBwOhx555BENHz5cH330kVJSUrRz584AfgIAAACEOsM0TbP604KrrKxMHTp00MGDB/XFF1+oR48ekqTCwkL16dNHu3fv1s6dO9W2bdsL3uezzz7TkCFD1L9/f33yySeKjDyzlMmnn36q66+/Xv3799fatWs9rqugoEBWq1V2u11xcXEX/wEBAADgk5QXV+t4YYk+frS/Oib+mMv8nddCYuR5zZo12rdvn8aNG+cKzpIUGxurqVOnqqysTPPnz6/2PvPmzZMkvfDCC67gLElDhw7VsGHD9Pnnn2vPnj3+/wAAAAC4JIREeE5PT5ck3XDDDRWOlbd5MmKcnp6umJgY9e3bt8KxYcOGeXwfAAAA1C4lpx2SpP/u/z6g/YREeC5/mK+yaRnx8fFKSEio9oG/oqIi5ebmqlWrVgoLC6twvPzePDgIAAAQWka9vl4Fp8okSdP/tVOjXl8fsL7CA3ZnP7Lb7ZIkq9Va6fG4uDgdPHjQ53uce15lSkpKVFJSUuGeBQUFF+wbAAAAgZG++6g27j3s1rZx70l9lLFXg9o3c+U0fz3mFxLhubZITU3VjBkzKrS3bNkyCNUAAACgKre86v6+sLCwykFUb4REeC7/oFWNCpc/RenrPc49rzKTJ0/WE0884Xqfn5+vK664QtnZ2X75MlB7FRQUqGXLlsrJyWFllUsc33XdwXddN/A91x1VfdemaaqwsFCXXXaZX/oJifB87nzkXr16uR3Ly8uTzWbTddddd8F7xMTEKDExUZmZmXI4HBXmPV9oXnW5yMhIt1U6ylmtVv5A1hFxcXF813UE33XdwXddN/A91x2Vfdf+HOQMiQcGBw4cKElatWpVhWPlbeXnVHefoqIirV9fcRL5ypUrPb4PAAAA6qaQCM9Dhw5V69attXDhQm3ZssXVXlhYqJkzZyo8PFwTJkxwtdtsNu3atUs2m83tPvfdd58k6be//a1KS0td7Z9++qlWrlypAQMGqF27dgH9LAAAAAhdIRGew8PD9dZbb8npdKp///6677779NRTT6l79+7asWOHpk+f7hZ6586dq44dO2ru3Llu9xk8eLAmTpyo//znP+rRo4eefvppjR8/XjfeeKPi4uL05z//2au6IiMjNW3atEqncuDSwnddd/Bd1x1813UD33PdUVPfdUhsz13uq6++0rRp0/TFF1+otLRUnTt31mOPPaY777zT7bzp06drxowZmjZtmqZPn+52zOl06k9/+pPeeOMNfffdd2rQoIEGDx6sF198kVFnAAAAXFBIhWcAAAAgmEJi2gYAAABQGxCeAQAAAA8RngEAAAAPEZ7Pk5GRoeHDhys+Pl4xMTHq3bu3Fi5c6NU9nE6n5s6dq27duikqKkpNmjTRmDFjXBuxoHbw9btet26dnnzySfXq1UuNGzdW/fr11aFDBz3zzDPKz88PXOHwmj/+XJ/r9OnTuuqqq2QYhjp06ODHSuELf33PhYWFmjZtmrp06aLo6Gg1bNhQPXv21IwZMwJQNS6GP77r/Px8Pffcc+rWrZtiY2OVkJCglJQUzZ07V6dOnQpQ5fDG+++/r/vvv19XX321IiMjZRiGFixY4PV9/J7LTLh89tlnZkREhNmgQQNz4sSJ5pNPPmm2atXKlGS++OKLHt9n0qRJpiSzU6dO5q9//Wvz7rvvNiMjI02r1Wru2LEjgJ8AnvLHd92sWTMzLCzMHDhwoPnYY4+Zjz/+uNmjRw9TktmmTRvz6NGjAf4U8IS//lyfa+rUqWZMTIwpyWzfvr2fK8bF8Nf3fODAAbNNmzamYRjm9ddfbz799NPmo48+at54441m165dA/gJ4Cl/fNd5eXlm69atTUlmv379zCeffNL85S9/abZp08aUZA4ZMsR0OBwB/iSozhVXXGFKMhMSElw/z58/3+v7+DuXEZ7POn36tNmmTRszMjLS3LRpk6u9oKDA7Ny5sxkeHm7u2bOn2vusWbPGlGT279/fPHXqlKt99erVpmEY5oABAwJSPzznr+969uzZ5uHDh93anE6n+eCDD5qSzIceesjvtcM7/vquz/X111+b4eHh5muvvUZ4riX89T2XlZWZKSkpZlRUlLlmzZpK+0Fw+eu7fumll0xJ5uOPP+7WXlJSYqakpJiSzLVr1/q9fnjnk08+MbOyskzTNM3U1NSLCs+ByGWE57NWrlxpSjLvueeeCscWLVpkSjInT55c7X3uuOOOKv/Q/fSnPzUlmbt37/ZLzbg4/vquq3L48GFTktm5c2dfyoQf+Pu7LikpMbt27Wr269fPdDqdhOdawl/fc/m5U6dODUSZ8AN/fdf333+/Kcn85JNPKhybMmWKKcn8xz/+4Zea4R8XG54DkcuY83xWenq6JOmGG26ocKy8be3atR7dJyYmRn379q1wbNiwYR7fB4Hjr++6KvXq1ZN0ZmdMBJe/v+vp06dr7969evvtt2UYhl9qhO/89T0vXrxYkjR69Gjl5OToL3/5i2bPnq1//OMfOnHihP8KxkXz13fduXNnSdKKFSvc2k+fPq3Vq1crKipKffr08bFa1AaByGX81/2s8knjbdu2rXAsPj5eCQkJ1U4sLyoqUm5urrp06aKwsLAKx8vvzYODweWP7/pC3nnnHUmV/587apY/v+uMjAy9/PLLmjVrFruR1jL++p43btwo6czDwI8//rhKSkpcx5o0aaIlS5Zo0KBB/ikaF8Vf3/XEiRP13nvv6ZVXXtHGjRuVkpKikpISrVixQnl5eVq4cKFatGjh9/pRswKVyxh5Pstut0uSrFZrpcfj4uJc5/hyj3PPQ3D447uuypYtWzRjxgw1bdpUTz/99EXXCP/w13ddUlKiCRMmqEePHnryySf9WiN856/v+dixY5KkRx55RI899phycnJ0/Phxvfbaa7Lb7Ro5cqRyc3P9Vzi85q/vOioqSunp6fr5z3+utWvX6ne/+53++Mc/at++fRo3bpz69evn17oRHIHKZYRnwE8yMzN10003yeFwaNGiRUpISAh2SfCTqVOnau/evXrnnXcqHb3ApcHpdEqSbrrpJs2ePVuXX365EhIS9Mgjj+jxxx+X3W7X22+/HeQq4Q82m03XX3+9vvzySy1fvlz5+fk6cuSI/vKXv2j+/Pm65pprlJeXF+wyUUsRns8q/1tJVX/7KCgoqPJvLt7c49zzEBz++K7Pd+DAAQ0ePFjHjx/X0qVLNXjwYJ/rhO/88V1v2rRJc+bM0W9+8xt17drV7zXCd/76M11+zs0331zh2IgRIyT9OLUDweGv7/qJJ57Qhg0btGzZMg0fPlxWq1XNmjXTpEmT9PLLL2v//v169dVX/Vk6giBQuYzwfNaF5r3k5eXJZrNVOsfqXDExMUpMTFRmZqYcDkeF4xeaq4Wa44/v+lxZWVkaNGiQDh8+rCVLluimm27yW63wjT++661bt8rhcGj69OkyDMPtJUm7d++WYRhq2LCh3+uHZ/z1Z7p9+/aSVOl3Wd5WXFx88YXCZ/76rpcvX65GjRqpW7duFY4NGTJEkvT111/7WC2CLVC5jPB81sCBAyVJq1atqnCsvK38nOruU1RUpPXr11c4tnLlSo/vg8Dx13ct/RicDx06pMWLF+uWW27xX6HwmT++63bt2unee++t9CWdGbG49957dffdd/u5enjKX3+my0PTzp07Kxwrb0tOTr7YMuEH/vquS0tLVVBQoNLS0grHjh8/LkmKjIz0pVTUEgHJZV4tbHcJO336tNm6dWszMjLS3Lx5s6v93IXXz10H8Pjx4+a3335rHj9+3O0+5y7GXVJS4mpnk5Taw1/fdWZmpnnFFVeY4eHh5rJly2qqfHjBX991VcQ6z7WCv77n/fv3m5GRkWbTpk3NgwcPut3nqquuMiWZq1evDvjnQdX89V0PGzbMlGT+9re/dWs/deqU69gf//jHgH4WeKe6dZ5rMpcRns+xZs0as169emaDBg3MSZMmuW35+cILL7idO23aNFOSOW3atAr3mThxIttz13L++K7Ltwq99tprzWnTplX6QvD56891ZQjPtYe/vufynSMbN25sTpw40Xz44YfN5ORkU5J533331dCnwYX447vevHmzGRsba0oye/fubT7++OPmgw8+6Nqyu1evXmZxcXENfipUZt68eeb48ePN8ePHmz179jQlmX379nW1/fOf/3SdW5O5jPB8nv/+97/mT3/6U9NqtZpRUVHm1Vdfbb7//vsVzrvQl+RwOMzXXnvN7Ny5sxkZGWk2btzYvO2229hZsJbx9buWVO0LtYM//lxXhvBcu/jre/7oo4/M/v37mw0aNDDr169v9urVy3zzzTcDXD284Y/ves+ePeY999xjJiUlmfXq1TOjoqLMrl27mjNmzDCLiopq4FOgOuPHj7/gf2PP/V5rMpcZpmma3k30AAAAAOomHhgEAAAAPER4BgAAADxEeAYAAAA8RHgGAAAAPER4BgAAADxEeAYAAAA8RHgGAAAAPER4BgAAADxEeAYASJImTJggwzA0YcKESo87HA7NmTNHPXr0UExMjAzDkGEY+uCDDyRJgwYNkmEYmj59ut9qKu8jPT3db/cEAF+EB7sAAKjNTNPU0qVLtXDhQm3atEnHjh1TWFiYmjVrpsTERPXu3Vv9+/fX0KFDFRcXF+xyA+qxxx7T3LlzJUkRERFq1qyZJKl+/fo1Xkt+fr5effVVV10NGzas8RoA1E2EZwCoQn5+vkaOHKm1a9e62sLDwxUdHa3s7Gzt379f69ev1+9//3vNnz+/yhHbUJGYmKj27dsrMTGxwrHCwkK98cYbkqSXX35ZTz31lAzDcDsnKSlJ7du3V0JCgt9qat++vSQpOjrarT0/P18zZsyQdGbEnPAMoKYYpmmawS4CAGqjm2++Wf/6178UFhamxx57TPfff7/atGkji8WisrIy7dy5UytWrNDChQv12GOPhXx4vpCMjAz17t1b0pkg3aBBg6DWk5WVpVatWkmSMjMzlZycHNR6ANQdhGcAqMTevXvVrl07SVJqaqqeffbZC55fXFysqKiomigtKNauXatBgwZJOjOVJdgIzwCChQcGAaASW7Zscf18yy23VHv++cE5OTlZhmFowYIFKiws1OTJk9W+fXtFRUUpISFBI0eO1H//+99q77t582b94he/UJs2bRQdHa0GDRqoe/fu+u1vfyubzXbBa4uKijRnzhwNHDhQCQkJioyM1OWXX66BAwfqlVde0dGjR93Or+yBwQULFsgwDFdwln58iO/8dk8eGPz222/18MMPq1OnToqNjVWDBg3Uvn173X777Vq2bJmcTqfb+ZU9MDho0CBXcJakVq1aVVrT7bffLsMwNHz48Av+Pn333XeyWCw8mAjAI8x5BoBqHDx4UB07dryoa/Py8pSSkqLdu3crIiJC9evX1/fff68PP/xQ//rXvzRv3jz94he/qPTaadOmaebMma6R3ujoaJ0+fVpbt27V1q1b9c4772j58uXq0aNHhWs3bdqkkSNHKicnR5JksVhktVp1+PBhHTp0SJ9//rlrOsqFREVFqVmzZiotLVVeXp4kuR4UlKRGjRp5/Hvx0ksvacqUKa6AXL9+fdWrV0979uzRnj17tHjxYuXl5VU7f7lRo0ZKSEhw/eUhISFBYWFhFWp64IEHtHjxYq1cuVLZ2dlKSkqq9H5vvfWWTNNUu3bt3P4yAACVYeQZACqRkpLieiDuySef1J49ey7qPjNmzNCxY8e0ZMkSFRUVyW63a+fOnRo4cKCcTqfuv/9+bdq0qcJ1r776qp5//nk1aNBAqampys3NVVFRkU6ePKmNGzdqyJAhys3N1c0336wTJ064XZuTk6Nhw4YpJydHLVu21KJFi1RYWKgffvhBxcXF2rZtm6ZPn64mTZpUW//YsWN15MgRpaWludqOHDniep3bfiF//vOf9eyzz8rpdOrmm2/W5s2bVVxcrIKCAn3//fdatWqVxo4dK4ul+v8spaWlKSMjw/U+IyOj0poGDRqkjh07yul06u233670XqdPn9aCBQskSffdd59HnwVAHWcCACo1adIkU5IpyTQMw+zRo4f50EMPmW+//ba5bds20+l0VnntFVdc4bp29erVFY6fPHnSbNu2rSnJHD58uNux48ePm9HR0aZhGJVea5qmefr0abNXr16mJPP3v/+927Gf//znpiSzcePGZnZ2tsefd/z48aYkc/z48RWOffbZZ67PU5WBAweaksxp06a5tf/www9mbGysKcm8/fbbL/j7dr7yPj/77DO39szMTNexzMzMKq9/9dVXTUnm5ZdfbpaVlVU4vnTpUlOSGRERYR4/ftzjugDUXYw8A0AVXn/9dU2dOlUxMTEyTVObN2/W66+/rnvvvVddu3ZV8+bN9cQTT1SYO3yuvn37aujQoRXao6Ki9Otf/1qStGLFCtntdtexv/3tbzp58qSuvvrqSq+VziyZd8cdd0iSVq5c6WovKirS4sWLJUnPPvusWrZs6f0H97OlS5eqsLBQ9erV05w5cyoscRdI48ePV3R0tA4ePKh///vfFY7PmzdPknTrrbf6dYk9AJcuwjMAVCE8PFzPP/+8Dh06pPfee08TJ05U9+7dFRERIUk6duyYfv/736tLly766quvKr3HkCFDqrx/+TGn0+k2dWPdunWSpO3bt6t58+ZVvp5//nlJ0oEDB1zXbty4UadPn5YkjRgxwodP7z8bNmyQJPXq1avSNaQDqWHDhho7dqykH4NyuQMHDuiTTz6RxJQNAJ4jPANANaxWq37+859r3rx52rJli+x2uz755BNXOLXZbLr11lt16tSpCte2aNGiyvuee+zYsWOunw8fPizpzPJ3R48erfJVUFAgSTp58qTr2iNHjrh+vuKKKy7yE/tXeU3BqueBBx6QJP373//WoUOHXO1vvfWWnE6n2rdvz4OCADxGeAYAL9WvX18/+clP9NFHH2n8+PGSzqzIsWLFigrnXmiKQlXHHA6HpDOhzzTNal9ZWVm+f6gaUJPTNc7Vu3dv9ezZUw6Hw/XgoMPh0Pz58yVJkyZNCkpdAEIT4RkAfHDuP/fv3r27wvGDBw9Wee25x5o2ber6uXnz5pKkbdu2eV3PudMizp3OEUzlNQUz5JePPr/99ttyOp2uUejIyEjXX4AAwBOEZwDwwbnbVEdGRlY4/tlnn1V5bfkxi8XitlZz3759JUlffvml1wH46quvds3J/te//uXVtYFy3XXXSTozHzs3N9cv9zx3STvTgx0Px40bp7i4OGVnZ2vlypWu+c+jRo3iQUEAXiE8A0AlMjMzPVrb+a9//avr5549e1Y4vm7dukp3rTt16pReeeUVSdKwYcPcNga56667FBUVJYfDoYcfftg1jaMyTqdT+fn5rvfR0dG6/fbbJUmzZ892bZISTKNHj1ZcXJzKysr0+OOP+2V777i4ONfP537+qsTExOiuu+6SJL3wwguulTd4UBCAtwjPAFCJHTt2qGPHjrrxxhv17rvvuk05OH36tDZv3qx77rlHc+bMkXRmXm2/fv0q3MdqterWW2/V0qVLVVZWJknatWuXbrzxRu3atUthYWGuVTPKNW/eXLNnz5YkLV++XNdff73Wr1/vCtGmaWrXrl2aM2eOunTpov/7v/9zu/7FF19UQkKCvv/+e/Xt21dLlixRcXGxJKmkpERbt27Vr3/9a7333nv++c2qhtVq1csvvyxJWrx4sX72s5+5bX+el5en5cuX65ZbbnE9BFmdhg0buh64nD9/vuv39kLKp25s2LBBDoeDBwUBXJygrC4NALXcihUrXJtwlL8iIiLMRo0amYZhuLX37NnTPHTokNv15ZukzJkzx2zfvr0pyYyMjDStVqvbxitvvvlmlTW8/PLLZlhYmFv/jRs3NuvVq+fW//vvv1/h2q+//tps0aKF65ywsDAzPj7erfbzN1cJ1CYp5WbNmmVaLBbXfaKiolybp5S/8vLy3K4pbz9/kxTTNM2ZM2e6jkdGRpotW7Y0r7jiCnPs2LFV1tivXz/XNb/73e+qPA8AqsLIMwBUYtiwYdq7d6/+8Ic/aPTo0erYsaMiIyOVn5+v6OhotW3bVmPGjNGiRYuUkZGhyy67rNL7xMfH66uvvtKzzz6rpKQklZSUqFGjRhoxYoTWr19/wZUefv3rX2vXrl16/PHH1a1bN9WvX1/5+flq0KCBUlJS9PTTT2vDhg0aN25chWt79uypb7/9VrNnz9a1116r2NhYFRUV6fLLL9egQYM0Z86cSq8LpMmTJ+ubb77RpEmTdOWVV0o6M4revn173XHHHUpLS3ObjlGdKVOm6A9/+IOuvvpq1atXTwcPHtSBAwfclus73+jRoyWJBwUBXDTDNP0w+QwA4CY5OVkHDhzQ/PnzNWHChGCXg7NGjBih//u//9Mdd9yhhQsXBrscACGIkWcAQJ2wf/9+14OCDz74YJCrARCqCM8AgEteQUGBHnzwQTmdTl1zzTXq379/sEsCEKLCg10AAACB8tRTT+kf//iHjhw5otLSUoWHh+vVV18NdlkAQhgjzwCAS5bNZlN2drYiIiLUp08frVixQtdee22wywIQwnhgEAAAAPAQI88AAACAhwjPAAAAgIcIzwAAAICHCM8AAACAhwjPAAAAgIcIzwAAAICHCM8AAACAhwjPAAAAgIcIzwAAAICH/h8tfJrpjhp86gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw specificity-sensitivity curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:blue', label='SVM Model')\n",
    "ax.set_xlabel('Specificity', fontsize=label_size)\n",
    "ax.set_ylabel('Sensitivity', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([0, 1.01])\n",
    "ax.set_ylim([0, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('Specificity_Sensitivity_Curve.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d993f551-18de-4db9-b4c3-10aa5d758b76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the ROC Curve (AUC): 0.9395\n"
     ]
    }
   ],
   "source": [
    "# Use sen_spec_svm to draw ROC curve\n",
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "ax.plot(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], marker='.', color='tab:red', label='SVM Model')\n",
    "ax.plot([0, 1], [0, 1], linestyle='--', color='gray', label='Random Classifier')\n",
    "ax.set_xlabel('False Positive Rate (1 - Specificity)', fontsize=label_size)\n",
    "ax.set_ylabel('True Positive Rate (Sensitivity)', fontsize=label_size)\n",
    "ax.tick_params(axis='both', which='major', labelsize=ticklabel_size)\n",
    "\n",
    "# Set axis limits\n",
    "ax.set_xlim([-0.01, 1.00])\n",
    "ax.set_ylim([-0.01, 1.01])\n",
    "\n",
    "# Save the figure\n",
    "plt.savefig('ROC_Curve.png', dpi=300)\n",
    "\n",
    "# Add surface\n",
    "ax.fill_between(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0], color='tab:blue', alpha=0.2)\n",
    "\n",
    "plt.savefig('AUC.png', dpi=300)\n",
    "plt.show()\n",
    "\n",
    "# Calculate AUC\n",
    "from sklearn.metrics import auc\n",
    "roc_auc = auc(1 - sen_spec_svm[:, 1], sen_spec_svm[:, 0])\n",
    "print(f\"Area Under the ROC Curve (AUC): {roc_auc:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "15513ff3-d99f-4c5a-a408-0d815dde8c9c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
